DOCSLIB.ORG

An Introduction to Hyperspectral Imaging Technology

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
An Introduction to Hyperspectral Imaging Technology An Introduction to Hyperspectral Imaging Technology Table of Contents 1.0 Introduction .......................................................................................................................................... 1 2.0 Electromagnetic Radiation ................................................................................................................ 1 2.1 The Electromagnetic Spectrum ........................................................................................................ 3 2.2 Electromagnetic Interactions with Matter ................................................................................... 4 3.0 Spectroscopy ........................................................................................................................................ 7 3.1 Refraction and the Prism ................................................................................................................... 7 3.2 Measuring the Spectrum .................................................................................................................... 8 3.3 Reflectance and Spectral Signatures ............................................................................................ 10 3.4 Reflectance and Reflection .............................................................................................................. 12 4.0 Remote Sensing ................................................................................................................................. 13 4.1 Overview .............................................................................................................................................. 14 4.2 Illumination and Atmospheric Scattering .................................................................................. 14 4.3 Atmospheric Absorption .................................................................................................................. 16 4.4 Reflection .............................................................................................................................................. 18 4.5 Atmospheric Absorption and Scattering .................................................................................... 19 4.6 Sensor Effects ...................................................................................................................................... 20 4.7 Spectral Signatures in the Field ..................................................................................................... 21 4.8 General Environmental Effects ...................................................................................................... 27 4.9 Changing Reflectance ........................................................................................................................ 31 4.10 Summary ............................................................................................................................................... 31 5.0 Hyperspectral Imagery (HIS) ........................................................................................................... 31 6.0 High Resolution Imagery (HRI) ....................................................................................................... 36 7.0 Viewing a Target ................................................................................................................................ 37 8.0 Current Applications of Hyperspectral Imagery ......................................................................... 38 9.0 Summary ............................................................................................................................................. 41 Page ii This document is not export controlled. Use or disclosure of this information is subject to the restrictions on the Title Page of this document. Copyright 2014 Exelis Inc. All Right Reserved An Introduction to Hyperspectral Imaging Technology 1.0 Introduction This document is provided by Exelis to introduce hyperspectral imaging (HSI) technology. Some present-day applications of HSI technology are discussed. Before getting into the HSI technology, we need to address some of its underlying concepts. In the next few sections, we will lead up to HSI by covering the following topics: Electromagnetic Radiation The Electromagnetic Spectrum Electromagnetic Radiation Interactions with Matter Spectroscopy Remote Sensing After reading this primer you should understand fundamentally how HSI technology works. 2.0 Electromagnetic Radiation Electromagnetic radiation (EMR) is energy in the form of electromagnetic waves. Electromagnetic waves get their name from a physical interaction between an electric field and a magnetic field that creates the wave. The most familiar form of EMR is visible light. However, electromagnetic radiation consists of much more than just visible light. X-rays, gamma rays, microwaves, and radio waves are all EMR. The characteristic that distinguishes different electromagnetic waves is the wavelength. Wavelength is just what it appears to be: the length of a wave. Electromagnetic waves oscillate in a pattern that continuously and exactly repeats itself, as shown in Figure 1. The wavelength is the distance traveled by the wave before its oscillation pattern repeats. This is also shown in the figure. Page 1 This document is not export controlled. Use or disclosure of this information is subject to the restrictions on the Title Page of this document. Copyright 2014 Exelis Inc. All Right Reserved An Introduction to Hyperspectral Imaging Technology One Wavelength Figure 1. Electromagnetic Wave Form and Wavelength The frequency of an electromagnetic wave is the number of times its oscillation pattern repeats each second. Frequency is stated in terms of cycles per second, where one cycle is one repetition of the up-and-down wave pattern. The unit of frequency is the hertz. One hertz is equal to one cycle per second. Hertz is abbreviated Hz, but often has an extra letter to indicate multipliers of 1000. For example, one thousand hertz is written “1,000 Hz” or as “1 kHz,” where the letter k indicates 1000. Common prefixes are listed below in Table 1. Table 1. Frequency Notation Multiplier Prefix Frequency 1,000 (103) k kilohertz, kHz 1,000,000 (106) M megahertz, MHz 1,000,000,000 (109) G gigahertz, GHz Since all electromagnetic waves travel at a constant speed—the speed of light1—longer electromagnetic waves oscillate slower than shorter electromagnetic waves. In fact, the product of frequency and wavelength is speed: Frequency x Wavelength Speed From the equation above, it’s easy to see that, since speed does not change, as the frequency increases the wavelength decreases, and vice versa. We will limit our discussions of electromagnetic radiation characteristics mostly to wavelengths. 1 The speed of light in a vacuum is about 186,000 miles per second (about 300,000 km per second). Light slows a bit in air, but certainly not enough to concern us. Page 2 This document is not export controlled. Use or disclosure of this information is subject to the restrictions on the Title Page of this document. Copyright 2014 Exelis Inc. All Right Reserved An Introduction to Hyperspectral Imaging Technology The unit of wavelength is the meter (m). Electromagnetic wavelengths also have common prefixes to denote multipliers of 1000. These are listed below in Table 2. Table 2. Wavelength Notation Multiplier PrefixWavelength 0.001 (10-3) m millimeter, mm 0.000 001 (10-6) μ micrometer, μm 0.000 000 (10-9) n nanometer, nm 001 The wavelengths we are concerned with are all in the nanometer (nm) range. One nanometer is one billionth of a meter. To help put this in perspective, there are 25.4 million nanometers in an inch. 2.1 The Electromagnetic Spectrum Electromagnetic wavelengths vary from very, very short (gamma rays) to very, very long (radio waves). Gamma ray wavelengths are so short that physicists refer to their energy instead of their wavelength. For example, the wavelength of a high-energy gamma ray is a few ten-thousandths of a nanometer (about one hundred trillionths of an inch). On the other hand, long radio waves have wavelengths of tens of kilometers! The corresponding frequencies are about one million million gigahertz (1021 Hz) for the high-energy gamma ray down to about 100 kilohertz (105 Hz) for the long radio wave. That’s quite a difference! The entire family of electromagnetic radiation, with all its different wavelengths, is called the electromagnetic spectrum. The electromagnetic spectrum is broken down into named ranges. You’ve probably heard some or all the names already, but you may not have known where they fit in the electromagnetic spectrum. The electromagnetic spectrum is illustrated below in Figure 2. Keep in mind that the spectrum does not end at 10-14 meters or at 104 meters. However, unless you are a particle physicist or an astrophysicist, these values represent reasonable end points for most purposes. Page 3 This document is not export controlled. Use or disclosure of this information is subject to the restrictions on the Title Page of this document. Copyright 2014 Exelis Inc. All Right Reserved An Introduction to Hyperspectral Imaging Technology The Electromagnetic Spectrum (Wavelengths in Meters) et e e ol d av av a vi re w tw m ay tra ra cro or m -r Ul nf i M h M Ga X I M F TV S A 10-14 10-12 10-10 10-8 10-6 10-4 10-2 1102 104 400 nm Visible Light 700 nm Figure 2. The Electromagnetic Spectrum The visible portion of the electromagnetic spectrum
Load more

Recommended publications
  • EPA Handbook: Optical and Remote Sensing for Measurement and Monitoring of Emissions Flux of Gases and Particulate Matter
    EPA Handbook: Optical and Remote Sensing for Measurement and Monitoring of Emissions Flux of Gases and Particulate Matter EPA 454/B-18-008 August 2018 EPA Handbook: Optical and Remote Sensing for Measurement and Monitoring of Emissions Flux of Gases and Particulate Matter U.S. Environmental Protection Agency Office of Air Quality Planning and Standards Air Quality Assessment Division Research Triangle Park, NC EPA Handbook: Optical and Remote Sensing for Measurement and Monitoring of Emissions Flux of Gases and Particulate Matter 9/1/2018 Informational Document This informational document describes the emerging technologies that can measure and/or identify pollutants using state of the science techniques Forward Optical Remote Sensing (ORS) technologies have been available since the late 1980s. In the early days of this technology, there were many who saw the potential of these new instruments for environmental measurements and how this technology could be integrated into emissions and ambient air monitoring for the measurement of flux. However, the monitoring community did not embrace ORS as quickly as anticipated. Several factors contributing to delayed ORS use were: • Cost: The cost of these instruments made it prohibitive to purchase, operate and maintain. • Utility: Since these instruments were perceived as “black boxes.” Many instrument specialists were wary of how they worked and how the instruments generated the values. • Ease of use: Many of the early instruments required a well-trained spectroscopist who would have to spend a large amount of time to setup, operate, collect, validate and verify the data. • Data Utilization: Results from path integrated units were different from point source data which presented challenges for data use and interpretation.
    [Show full text]
  • Dozy-Chaos Mechanics for a Broad Audience
    challenges Concept Paper Dozy-Chaos Mechanics for a Broad Audience Vladimir V. Egorov Russian Academy of Sciences, FSRC “Crystallography and Photonics”, Photochemistry Center, 7a Novatorov Street, 119421 Moscow, Russia; [email protected] Received: 29 June 2020; Accepted: 28 July 2020; Published: 31 July 2020 Abstract: A new and universal theoretical approach to the dynamics of the transient state in elementary physico-chemical processes, called dozy-chaos mechanics (Egorov, V.V. Heliyon Physics 2019, 5, e02579), is introduced to a wide general readership. Keywords: theoretical physics; quantum mechanics; molecular quantum transitions; singularity; dozy chaos; dozy-chaos mechanics; electron transfer; condensed matter; applications 1. Introduction In a publication of Petrenko and Stein [1], it is demonstrated that “the feasibility of the theory of extended multiphonon electron transitions” [2–4] “for the description of optical spectra of polymethine dyes and J-aggregates using quantum chemistry”. A recent publication by the same authors [5] “demonstrates the feasibility and applicability of the theory of extended multiphonon electron transitions for the description of nonlinear optical properties of polymethine dyes using quantum chemistry and model calculations”. About twenty years have passed since the first publications on the theory of extended multiphonon electron transitions [2–4], however, apart from the author of this theory and this paper, only Petrenko and Stein managed to use their results constructively, despite their promising character [1,5,6], and despite the fact that for a long time, the new theory has been constantly in the field of view of a sufficiently large number of researchers (see, e.g., [7–31]). The low demand in practice for the new, promising theory is associated not only with its complexity (however, we note that this theory is the simplest theory of all its likely future and more complex modifications [6]), but also with an insufficiently clear presentation of its physical foundations in the author’s pioneering works [2–4].
    [Show full text]
  • All-Metal Terahertz Metamaterial Absorber and Refractive Index Sensing Performance
    hv photonics Communication All-Metal Terahertz Metamaterial Absorber and Refractive Index Sensing Performance Jing Yu, Tingting Lang * and Huateng Chen Institute of Optoelectronic Technology, China Jiliang University, Hangzhou 310018, China; [email protected] (J.Y.); [email protected] (H.C.) * Correspondence: [email protected] Abstract: This paper presents a terahertz (THz) metamaterial absorber made of stainless steel. We found that the absorption rate of electromagnetic waves reached 99.95% at 1.563 THz. Later, we ana- lyzed the effect of structural parameter changes on absorption. Finally, we explored the application of the absorber in refractive index sensing. We numerically demonstrated that when the refractive index (n) is changing from 1 to 1.05, our absorber can yield a sensitivity of 74.18 µm/refractive index unit (RIU), and the quality factor (Q-factor) of this sensor is 36.35. Compared with metal–dielectric–metal sandwiched structure, the absorber designed in this paper is made of stainless steel materials with no sandwiched structure, which greatly simplifies the manufacturing process and reduces costs. Keywords: metamaterial absorber; stainless steel; refractive index sensing; sensitivity 1. Introduction Metamaterials are new artificial materials that are periodically arranged according to certain subwavelength dimensions [1,2]. Owing to their unique properties of perfect absorption, perfect transmission, and stealth, metamaterials show promising applications Citation: Yu, J.; Lang, T.; Chen, H. in sensors [3–11], absorbers [12,13], imaging [14,15], etc. Among them, in biomolecular All-Metal Terahertz Metamaterial sensing, metamaterial devices are spurring unprecedented interest as a diagnostic protocol Absorber and Refractive Index for cancer and infectious diseases [10,11].
    [Show full text]
  • Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits
    www.nature.com/scientificreports OPEN Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Received: 18 April 2016 Accepted: 11 July 2017 Selection Algorithms and Published: xx xx xxxx Chemometric Models Hongyan Zhu1, Bingquan Chu1, Yangyang Fan1, Xiaoya Tao2, Wenxin Yin1 & Yong He1 We investigated the feasibility and potentiality of determining frmness, soluble solids content (SSC), and pH in kiwifruits using hyperspectral imaging, combined with variable selection methods and calibration models. The images were acquired by a push-broom hyperspectral refectance imaging system covering two spectral ranges. Weighted regression coefcients (BW), successive projections algorithm (SPA) and genetic algorithm–partial least square (GAPLS) were compared and evaluated for the selection of efective wavelengths. Moreover, multiple linear regression (MLR), partial least squares regression and least squares support vector machine (LS-SVM) were developed to predict quality attributes quantitatively using efective wavelengths. The established models, particularly SPA-MLR, SPA-LS-SVM and GAPLS-LS-SVM, performed well. The SPA-MLR models for frmness (Rpre = 0.9812, RPD = 5.17) and SSC (Rpre = 0.9523, RPD = 3.26) at 380–1023 nm showed excellent performance, whereas GAPLS-LS-SVM was the optimal model at 874–1734 nm for predicting pH (Rpre = 0.9070, RPD = 2.60). Image processing algorithms were developed to transfer the predictive model in every pixel to generate prediction maps that visualize the spatial distribution of frmness and SSC. Hence, the results clearly demonstrated that hyperspectral imaging has the potential as a fast and non-invasive method to predict the quality attributes of kiwifruits. Fruit quality represents a combination of properties and attributes that determine the suitability of the fruit to be eaten as fresh or stored for a reasonable period without deterioration and confer a value regarding consum- er’s satisfaction1, 2.
    [Show full text]
  • Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat
    remote sensing Article Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat Iman Tahmasbian 1,* , Natalie K. Morgan 2, Shahla Hosseini Bai 3, Mark W. Dunlop 1 and Amy F. Moss 2 1 Department of Agriculture and Fisheries, Queensland Government, Toowoomba, QLD 4350, Australia; Scopus affiliation ID: 60028929; [email protected] 2 School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia; [email protected] (N.K.M.); [email protected] (A.F.M.) 3 Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Brisbane, QLD 4111, Australia; s.hosseini-bai@griffith.edu.au * Correspondence: [email protected] Abstract: Hyperspectral imaging (HSI) is an emerging rapid and non-destructive technology that has promising application within feed mills and processing plants in poultry and other intensive animal industries. HSI may be advantageous over near infrared spectroscopy (NIRS) as it scans entire samples, which enables compositional gradients and sample heterogenicity to be visualised and analysed. This study was a preliminary investigation to compare the performance of HSI with that of NIRS for quality measurements of ground samples of Australian wheat and to identify the most important spectral regions for predicting carbon (C) and nitrogen (N) concentrations. In total, 69 samples were scanned using an NIRS (400–2500 nm), and two HSI cameras operated in Citation: Tahmasbian, I.; Morgan, 400–1000 nm (VNIR) and 1000–2500 nm (SWIR) spectral regions. Partial least square regression N.K; Hosseini Bai, S.; Dunlop, M.W; (PLSR) models were used to correlate C and N concentrations of 63 calibration samples with their Moss, A.F Comparison of spectral reflectance, with 6 additional samples used for testing the models.
    [Show full text]
  • Absorption of Light Energy Light, Energy, and Electron Structure SCIENTIFIC
    Absorption of Light Energy Light, Energy, and Electron Structure SCIENTIFIC Introduction Why does the color of a copper chloride solution appear blue? As the white light hits the paint, which colors does the solution absorb and which colors does it transmit? In this activity students will observe the basic principles of absorption spectroscopy based on absorbance and transmittance of visible light. Concepts • Spectroscopy • Visible light spectrum • Absorbance and transmittance • Quantized electron energy levels Background The visible light spectrum (380−750 nm) is the light we are able to see. This spectrum is often referred to as “ROY G BIV” as a mnemonic device for the order of colors it produces. Violet has the shortest wavelength (about 400 nm) and red has the longest wavelength (about 650–700 nm). Many common chemical solutions can be used as filters to demonstrate the principles of absorption and transmittance of visible light in the electromagnetic spectrum. For example, copper(II) chloride (blue), ammonium dichromate (orange), iron(III) chloride (yellow), and potassium permanganate (red) are all different colors because they absorb different wave- lengths of visible light. In this demonstration, students will observe the principles of absorption spectroscopy using a variety of different colored solutions. Food coloring will be substituted for the orange and yellow chemical solutions mentioned above. Rare earth metal solutions, erbium and praseodymium chloride, will be used to illustrate line absorption spectra. Materials Copper(II) chloride solution, 1 M, 85 mL Diffraction grating, holographic, 14 cm × 14 cm Erbium chloride solution, 0.1 M, 50 mL Microchemistry solution bottle, 50 mL, 6 Potassium permanganate solution (KMnO4), 0.001 M, 275 mL Overhead projector and screen Praseodymium chloride solution, 0.1 M, 50 mL Red food dye Water, deionized Stir rod, glass Beaker, 250-mL Tape Black construction paper, 12 × 18, 2 sheets Yellow food dye Colored pencils Safety Precautions Copper(II) chloride solution is toxic by ingestion and inhalation.
    [Show full text]
  • Chapter 4 Remote Sensing Background Introduction
    I C Lau Remote Sensing Chapter 4 Remote Sensing Background Introduction Remote sensing is classically defined as the science of acquiring and analysing information about an object or area from a distance. This may be accomplished by the measurement of (1) emitted or reflected electromagnetic (EM) radiation, (2) magnetic or gravity fields, (3) emitted gamma-rays (?-rays) from the decay of radioelements and (4) mechanical vibrations or waves emanating from, being transmitted through or reflected from materials (Reeves 1975). A more modern definition describes remote sensing as the measurement of EM energy by aircraft- or spaceborne-mounted sensors for the interpretation of surface and subsurface features. The purpose of this chapter is to introduce the theory behind remote sensing with emphasis on mineralogical and geological information extraction. The first section of the chapter defines and explains the properties of EM radiation and the propagation of spectral features in the visible-near infrared (VNIR) to shortwave infrared (SWIR) regions and the interaction of radiation with the materials on Earth. The second part of the chapter summaries the acquisition and recording of EM radiation by remote and proximal sensors. The final part of the chapter explains the processing and the extraction of information of remotely sensed data for geoscientific purposes in. Part 1 Electromagnetic Radiation Theory and the Interaction with Materials Background on Electromagnetic Radiation Electromagnetic energy has been defined as both a wave and a particle model and hence, can be defined by frequency or wavelength. The particle model describes EM radiation as discrete packets of energy called photons, Q with joules the unit of measurement.
    [Show full text]
  • Hyperspectral Imaging with a TWINS Birefringent Interferometer
    Vol. 27, No. 11 | 27 May 2019 | OPTICS EXPRESS 15956 Hyperspectral imaging with a TWINS birefringent interferometer 1,2,4 3,4 3 A. PERRI, B. E. NOGUEIRA DE FARIA, D. C. TELES FERREIRA, D. 1 1 1,2 1,2 3 COMELLI, G. VALENTINI, F. PREDA, D. POLLI, A. M. DE PAULA, G. 1,2 1, CERULLO, AND C. MANZONI * 1IFN-CNR, Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, I-20133 Milano, Italy 2NIREOS S.R.L., Via G. Durando 39, 20158 Milano, Italy 3Departamento de Física, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte-MG, Brazil 4The authors contributed equally to the work *[email protected] Abstract: We introduce a high-performance hyperspectral camera based on the Fourier- transform approach, where the two delayed images are generated by the Translating-Wedge- Based Identical Pulses eNcoding System (TWINS) [Opt. Lett. 37, 3027 (2012)], a common- path birefringent interferometer that combines compactness, intrinsic interferometric delay precision, long-term stability and insensitivity to vibrations. In our imaging system, TWINS is employed as a time-scanning interferometer and generates high-contrast interferograms at the single-pixel level. The camera exhibits high throughput and provides hyperspectral images with spectral background level of −30dB and resolution of 3 THz in the visible spectral range. We show high-quality spectral measurements of absolute reflectance, fluorescence and transmission of artistic objects with various lateral sizes. © 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement 1. Introduction A great deal of physico-chemical information on objects can be obtained by measuring the spectrum of the light they emit, scatter or reflect.
    [Show full text]
  • Near-Infrared Spectroscopic Analysis for Classification
    CORE Metadata, citation and similar papers at core.ac.uk Provided by Wood and Fiber Science (E-Journal) NEAR-INFRARED SPECTROSCOPIC ANALYSIS FOR CLASSIFICATION OF WATER MOLECULES IN WOOD BY A THEORY OF WATER MIXTURES Sang-Yun Yang Graduate Research Assistant Department of Forest Sciences Seoul National University Seoul, Korea 151-921 E-mail: [email protected] Chang-Deuk Eom Research Scientist Korea Forest Research Institute Seoul, Korea E-mail: [email protected] Yeonjung Han PhD Candidate E-mail: [email protected] Yoonseong Chang Graduate Research Assistant E-mail: [email protected] Yonggun Park Department of Forest Sciences Seoul National University Seoul, Korea 151-921 E-mail: [email protected] Jun-Jae Lee Professor E-mail: [email protected] Joon-Weon Choi Associate Professor E-mail: [email protected] Hwanmyeong Yeo*{ Associate Professor Research Institute for Agriculture and Life Sciences Department of Forest Sciences Seoul National University Seoul, Korea, 151-921 E-mail: [email protected] (Received May 2013) * Corresponding author { SWST member Wood and Fiber Science, 46(2), 2014, pp. 138-147 # 2014 by the Society of Wood Science and Technology Yang et al—NIR SPECTROSCOPIC ANALYSIS FOR WOOD WATER MOLECULES 139 Abstract. This study was conducted to analyze the mechanism of moisture adsorption–desorption in wood using near-IR (NIR) spectroscopy. NIR spectra reflected from moist wood were acquired, and spectra in the range from 1800-2100 nm, which were sensitive to water variation, were decomposed into three different components according to the Buijs and Choppin theory. It is assumed that the three components represent three types of bound water: water molecules without -OH groups engaged in hydrogen bonds (S0), water molecules with one -OH group engaged in a hydrogen bond (S1), and water molecules with two -OH groups engaged in hydrogen bonds (S2).
    [Show full text]
  • I'll Build You a Rainbow
    I'll Build You A Rainbow Summary Experiments and demonstrations are used to help students understand that white visible light is composed of the colors of the spectrum. Time Frame 1 class periods of 45 minutes each Group Size Large Groups Materials For the Teacher: Shallow Baking Dish Water Small Mirror Modeling Clay White Paper 3 Flashlights Red, Green, and Blue Cellophane For the Student: Clear Plastic Cup Water Straw Pencil Penny Prism Flashlight White Paper Science Journal Background for Teachers People first thought rainbows were something of a supernatural explanation. The first person to realize that light contained color was a man in 1666 named Sir Isaac Newton. Newton discovered the colors when he bent light. We see a rainbow of colors when we use a prism or water to separate the colors of sunlight. Light is bent as it passes through the water or prism and the colors are spread apart into a spectrum. Each color becomes individually visible. Each color has a different wavelength with red being the longest and violet the shortest. When light passes through a prism or water, each color is bent at a different angle. Color is an essential part of our life. Everything we see has color. Colors are in the clothes we wear, in the plants and animals. The sky is blue. The snow is white. The asphalt is black. Can you imagine what our world would be like if there were no color? If you were asked to draw a rainbow, in which order would you put the colors? Young (and sometimes older) children may think each rainbow, like each person is unique.
    [Show full text]
  • A Study to Determine the Color Preferences of School Children, 1950-1951
    A study to determine the color preferences of school children, 1950-1951 Item Type text; Thesis-Reproduction (electronic) Authors Ryan, Leo Thomas, 1914- Publisher The University of Arizona. Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Download date 06/10/2021 16:01:14 Link to Item http://hdl.handle.net/10150/319109 A STUDY TO DETERMINE THE COLOR PREFERENCES OF SCHOOL CHILDREN 1950 - 1951 LeoL Ryanz /' v \ A Thesis submitted to the faculty of the Department of Education in partial fulfillment of the requirements for the degree of MASTER OF ARTS in the Graduate College, University of Arizona 1951 TABLE OP CONTENTS: Chapter Page ■I. INTRODUCTION«, t . 6 "II. BACKGROUND FOR THE STUDY. - . , . .18: III. METHOD OF PROCEDURE .............. 40 IVp PRESENTATION OF DATA. .............. 50 V. ANALYSIS AND INTERPRETATION .......... 64 VI. SUMMARY.-. ... V ' . .... ... ... 75 Oozig3.U1 s 2.ons o oo o a o o o o 0 a & 0 o o o 5 Recommendations® o 76 Xj im 11 a t x on s <> o ©& <» » « @ @ 6 « « © <> * © *7 7 Suggestions for Future Research • *, . <> • „ 77 BIBLIOGRAPHY o . < . , . o . , -* . , 78 AP P BIX 3D IDC ^ 0 8 o o o o o e o O © o o o © o o o o 8 ii LIST OF GH&RTS Ghart , . Page lo ■ SYMBOLISM OF COLORS Q . 0 21 II.:- SYMBOLISM OF DIRECTIONAL COLORS IN . ' DIFFERENT COUNTRIES . .. .. ... 23 III, SYMBOLISM OF COLORS OF THE ELEMENTS .
    [Show full text]
  • The Physics, Chemistry and Perception of Colored Flames
    An earlier version appeared in: Pyrotechnica VII (1981). The Physics, Chemistry and Perception of Colored Flames Part I K. L. Kosanke SUMMARY ed analogy, semi-classical explanations, and a little hand waving in place of perfectly rigorous The first part of this three-part monograph science. In doing this, I have been careful not to presents an in-depth examination of the develop- distort the science being discussed, but only to ment of light theory; mechanisms of light genera- make the subject more understandable. I have in- tion in flames; atomic line, molecular band and cluded numerous drawings, notes and equations as continuous spectra; the definition, laws and figures. I hope the result is complete, accurate, measurement of color; chromaticity diagrams and useful, understandable, and may possibly even how the pyrotechnist can use this knowledge of makes enjoyable reading. physics in planning colored flame formulations of optimal purity. 2.0 Introduction 1.0 Preface Many of the concepts discussed in this paper are not particularly easy to understand or to work In my examination of pyrotechnic literature, I with. It is reasonable to wonder why you should have not been able to find a comprehensive dis- bother to read it and what you will get out of it. cussion of the physics, chemistry and perception The answer is slightly different depending on your of colored flames, let alone one that could be un- scientific background and on what type of pyro- derstood by the average fireworks enthusiast. The technist you are. I will assume your scientific standard texts such as Davis (1943), Weingart background is limited.
    [Show full text]