An Integrated INS/GPS Approach to the Georeferencing of Remotely

Total Page:16

File Type:pdf, Size:1020Kb

An Integrated INS/GPS Approach to the Georeferencing of Remotely I PEER-REVIEWED ARTICLE An Integrated INSIGPS Approach to the Georeferencing of Remotely Sensed Data Abstract remote areas such as are found in many developing coun- A general model for the georeferencing of remotely sensed tries. data by an onboard positioning and orientation system is In the case of pushbroom imagery, the georeferencing presented as a problem of rigid body motion. The determina- problem is further complicated due to the need for the in- tion of the six independent parameters of motion by discrete stantaneous position and attitude information at each line of measurements from ineNealand satellife systems is directly imagery. Ground control alone is not sufficient to resolve all related to the problem of exterior orientation. The contribu- of the three position and three orientation (attitude) parame- tion of each measuring system to the determination of the ters associated with each exposure station, of which there three translational and three rotational parameters is treated may be thousands in a single mission. In order to overcome in detail, with emphasis on the contribution of inertial navi- these problems, systems have been proposed whereby multi- gation systems (INS] and single- and multi-antenna receivers ple look angles are simultaneously recorded with slight vari- of the Global Positioning System [GPS). The advantages of an ations in alignment (Hofmann et al., 1988). integrated INSIGPS approach are briefly discussed. Position- Another approach has been through the use of auxiliary ing and orientation accuracies obtainable from available position and navigation sensors which have been simulta- systems are then highlighted using selected results to em- neously flown during imaging missions. Output of these sen- phasize signifcant points. The implementation of the gen- sors is used to determine the six parameters of exterior eral georeferencing concept is demonstrated by brief orientation, either completely or partially, and thus eliminate descriptions of a number of projects in which The University the need for dense ground control. This approach will be of Calgary group is currently involved. They include aerial called onboard exterior orientation in the following. Such photography applications, airborne tests with pushbroom sensors have included statoscopes, laser profilers, stellar imagers, motion compensation for SLAR systems, and the de- cameras, inertial navigation systems (INS), and Global Posi- velopment of a mobile survey system for a road inventory tioning System (GPS) receivers. Each of these systems has the GIs using digital frame cameras. The paper concludes with a potential to resolve all or a subset of the six parameters re- brief discussion of some application areas which ofer a high quired for individual exposure stations. Only recently have potential for future development. two of these systems, namely INS and GPS, been fully inte- grated such that all six orientation parameters are determina- Introduction ble with sufficient accuracy at any instant of time. Aerial remote sensing has evolved from the exclusive use of Further problems are encountered when using multi- film-based optical sensors to fully digital electro-optical and look side-looking radar (SLAR),for which aircraft velocity in- active electronic sensors with multispectral capabilities in formation is required in order to compensate for the finite many cases. These sensors can be roughly categorized as time interval over which the image is generated. In this case, frame-based, as in the case of aerial cameras, or as line scan- real-time motion compensation is needed which, from an op- erational point of view, puts a number of constraints on the ners (or pushbroom imagers), as represented by the MEIS sys- tem (Gibson et al., 1983) or casi system (Babey and Anger, model implementation. Velocity information is directly 1989). available from an integrated INSIGPS system which is pro- Traditionally, frame imagery has relied on the process of posed to be simultaneously flown onboard the remote sens- visually or digitally correlating ground control points with ing aircraft. their corresponding images for achieving georeferencing. This paper discusses the underlying principles of on- This process, which involves the estimation of the position board exterior orientation through the use of a fully inte- and attitude information for each exposure, has become com- grated INSJGPS positioning and orientation system, highlights monly known as aerotriangulation. It is efficiently accom- some of the results achieved, and outlines some future plans. plished due to the stable geometric nature of frame-based The proposed method has demonstrated initial success and is being tested in an ongoing manner with various imaging imagery along with the use of ground control points (GCPS) of sufficient number, distribution, and accuracy. Unfortunately, sensor arrangements, including frame cameras, pushbroom the costs associated with the establishment of these GCPS has scanners, and SLAR. represented a significant portion of the aerotriangulation budget. In some cases, these costs can be prohibitive, espe- Remote Sensing with Onboard Exterior Orientation cially when imagery is to be acquired and georeferenced in Conceptually, the problem of exterior orientation can be re- duced to defining the transformation between the sensor gen- K. P. Schwan Photogrammetric Engineering & Remote Sensing, M. A. Chapman Vol. 59, No. 11, November 1993, pp. 1667-1674. M. W. Cannon P. Gong 0099-1112/93/5911-1667$03.00/0 Department of Geomatics Engineering, 01993 American Society for Photogrammetry The University of Calgary, 2500 University Drive NW, and Remote Sensing Calgary, Alberta T2N 1N4, Canada. PEER-REVIEWED ARTICLE denoted by lower case letters, matrices by upper case letters. Vector superscripts define the coordinate frame in which the vector elements are expressed. Matrix superscripts and sub- ..'"-*-sms ..'"-*-sms ..,,,,a,,,,,, ,,,,,,,,,,1111*-"'11( scripts indicate the direction of the rotation which is from ~!,~gh!,.~tb..hhhhhhh~~-~~~~---~~~~J"ncorrectml subscript to superscript. Thus, defines the rotation from the m-frame to the b-frame. The inverse rotation is simply given by an interchange of subscript and superscript. Thus, fP \ irnagerdor RT is the inverse of e.The analytical form of the rotation r image matrix R't: is cosmoscp - sinminosincp - sinKcoso coswsincp + sinminocoscp sin~coso+ cosminwsing cos~coso sinming - cosminocosg -cosminp sino COS~OSQ (2) Note that these rotations correspond to the ones often used Figure 1. The relation between the mapping in photogrammetry if the frame conventions for b and m are frame and the body frame. the same. They express rotations from the system of ground coordinates to the system of photo coordinates at a point where the z-axis of the ground coordinate system coincides with the ellipsoidal normal. The main difference between the erated images or records and the coordinate system in which control coordinate system and the local geodetic system is the results are required. For convenience, the latter will be that one is a planar, and the other an ellipsoidal approxima- called the mapping frame and will be denoted by m. It can tion of the Earth's surface. be a system of curvilinear geodetic coordinates (latitude, lon- Georeferencing is possible if at any instant of time (t) the gitude, height), a system of uTM or 3TM coordinates, or any position of the perspective center of the camera or the scan- other conveniently chosen Earth-fixed reference system. In ner is given in coordinates of the m-frame, i.e., rm, and the order to transform the sensor output to the mapping frame, rotation matrix Rrg has been determined (see Figure 1).The three essential steps are necessary. First, the motion of the georeferencing equation can then be written as sensor frame with respect to the Earth-fixed mapping frame has to be determined. Second, the image coordinates have to be corrected for both the rotational and translational part of where Arm is the position vector in the chosen mapping sys- this motion. Third, the corrected image coordinates have to tem, P is the position of the center of the remote sensing de- be transformed into the mapping frame. The total procedure vice, smis a scale factor derived from the height of the sensor is usually called georeferencing. above ground, and pb is the vector between the projective The concept of georeferencing is shown in Figure 1. The center and an arbitrary point (x,y) in the image plane given airborne sensor has a coordinate system assigned to it which in the b-frame. The vector pb may be rotated into the m- changes position and orientation with respect to the mapping frame as pm and is then given by frame (m) as a function of time. The sensor frame is usually called body frame (b) and corresponds to the photo coordin ate frame in photogrammetry. If the sensor is rigidly mounted in the aircraft, the changes of the b-frame with re- spect to the m-frame will correspond to those of the aircraft. In general, small differential movements between aircraft where (x,y) are the image coordinates in the b-frame and f is frame and sensor frame can occur, however, and these have the sensor focal length, while (x1,y',z') are coordinates of the to be measured. image vector transformed to the mapping frame. For a line For simplicity, it will be assumed that the b-frame is de- scanner, y would be the pixel displacement along the scan fined such that forward motion defines the yb-axis, sideward line and x would be zero. A more detailed discussion of line motion to the right of the forward motion, the xb-axis,and scanning georeferencing is given in Cosandier et al. (1992). upward motion, completing the three-dimensional Cartesian Equation 3 is the simplest form of the georeferencing frame, the zb-axis.Assuming that the mapping frame is a cur- equation. It relates points in the image plane to points on the vilinear geodetic coordinate system (latitude, longitude, ground, using the defined mapping frame.
Recommended publications
  • Georeferencing Accuracy of Geoeye-1 Stereo Imagery: Experiences in a Japanese Test Field
    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, Part 8, Kyoto Japan 2010 GEOREFERENCING ACCURACY OF GEOEYE-1 STEREO IMAGERY: EXPERIENCES IN A JAPANESE TEST FIELD Y. Meguro a, *, C.S.Fraser b a Japan Space Imaging Corp., 8-1Yaesu 2-Chome, Chuo-Ku, Tokyo 104-0028, Japan - [email protected] b Department of Geomatics, University of Melbourne VIC 3010, Australia - [email protected] Commission VIII, Working Group ICWG IV/VIII KEY WORDS: GeoEye-1, Stereo, RPCs, geopositioning, accuracy evaluation, bias compensation, satellite imagery ABSTRACT: High-resolution satellite imagery (HRSI) is being increasingly employed for large-scale topographic mapping, and especially for geodatabase updating. As the spatial resolution of HRSI sensors increases, so the potential georeferencing accuracy also improves. However, accuracy is not a function of spatial resolution alone, as it is also dependent upon radiometric image quality, the dynamics of the image scanning, and the fidelity of the sensor orientation model, both directly from orbit and attitude observations and indirectly from ground control points (GCPs). Users might anticipate accuracies of, say, 1 pixel in planimetry and 1-3 pixels in height when using GCPs. However, there are practical and in some cases administrative/legal imperatives for the georeferencing accuracy of HRSI systems to be quantified through well controlled tests. This paper discusses an investigation into the georeferencing accuracy attainable from the GeoEye-1 satellite, and specifically the 3D accuracy achievable from stereo imagery. Both direct georeferencing via supplied RPCs and indirect georeferencing via ground control and bias-corrected RPCs were examined for a stereo pair of pansharpened GeoEye-1 Basic images covering the Tsukuba Test Field in Japan, which contains more than 100 precisely surveyed and image identifiable GCPs.
    [Show full text]
  • Knowledge-Driven Geospatial Location Resolution for Phylogeographic
    Bioinformatics, 31, 2015, i348–i356 doi: 10.1093/bioinformatics/btv259 ISMB/ECCB 2015 Knowledge-driven geospatial location resolution for phylogeographic models of virus migration Davy Weissenbacher1,*, Tasnia Tahsin1, Rachel Beard1,2, Mari Figaro1,2, Robert Rivera1, Matthew Scotch1,2 and Graciela Gonzalez1 1Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA and 2Center for Environmental Security, Biodesign Institute, Arizona State University, Tempe, AZ 85287-5904, USA *To whom correspondence should be addressed. Abstract Summary: Diseases caused by zoonotic viruses (viruses transmittable between humans and ani- mals) are a major threat to public health throughout the world. By studying virus migration and mutation patterns, the field of phylogeography provides a valuable tool for improving their surveil- lance. A key component in phylogeographic analysis of zoonotic viruses involves identifying the specific locations of relevant viral sequences. This is usually accomplished by querying public data- bases such as GenBank and examining the geospatial metadata in the record. When sufficient detail is not available, a logical next step is for the researcher to conduct a manual survey of the corresponding published articles. Motivation: In this article, we present a system for detection and disambiguation of locations (topo- nym resolution) in full-text articles to automate the retrieval of sufficient metadata. Our system has been tested on a manually annotated corpus of journal articles related to phylogeography using inte- grated heuristics for location disambiguation including a distance heuristic, a population heuristic and a novel heuristic utilizing knowledge obtained from GenBank metadata (i.e. a ‘metadata heuristic’). Results: For detecting and disambiguating locations, our system performed best using the meta- data heuristic (0.54 Precision, 0.89 Recall and 0.68 F-score).
    [Show full text]
  • Introduction to Georeferencing
    Introduction to Georeferencing Turning paper maps to interactive layers DMDS Workshop Jay Brodeur 2019-02-29 Today’s Outline ➢ Basic fundamentals of GIS and geospatial data ⚬ Vectors vs. rasters ⚬ Coordinate reference systems ➢ Introduction to Quantum GIS (QGIS) ➢ Hands-on Problem-Solving Assignments Quantum GIS (QGIS) ➢ Free and open-source GIS software ➢ User-friendly, fully-functional; relatively lightweight ➢ Product of the Open Source Geospatial Foundation (OSGeo) ➢ Built in C++; uses python for scripting and plugins ➢ Version 1.0 released in 2009 ➢ Current version: 3.16; Long-term release (LTR): 3.14 GDAL - Geospatial Data Abstraction Library www.gdal.org SAGA - System for Automated Geoscientific Analyses saga-gis.org/ GRASS - Geographic Resources Analysis Support System www.grass.osgeo.org QGIS - Quantum GIS qgis.org GeoTools www.geotools.org Helpful QGIS Tutorials and Resources ➢ QGIS Tutorials: http://www.qgistutorials.com/en/ ➢ QGIS Quicktips with Klas Karlsson: https://www.youtube.com/channel/UCxs7cfMwzgGZhtUuwhny4-Q ➢ QGIS Training Guide: https://docs.qgis.org/2.8/en/docs/training_manual/ Geospatial Data Fundamentals Representing real-world geographic information in a computer Task 1: Compare vector and raster data layers Objective: Download some openly-available raster and vector data. Explore the differences. Topics Covered: ➢ The QGIS Interface ➢ Geospatial data ➢ Layer styling ➢ Vectors vs rasters Online version of notes: https://goo.gl/H5vqNs Task 1.1: Downloading vector raster data & adding it to your map 1. Navigate a browser to Scholars Geoportal: http://geo.scholarsportal.info/ 2. Search for ‘index’ using the ‘Historical Maps’ category 3. Load the 1:25,000 topo map index 4. Use the interactive index to download the 1972 map sheet of Hamilton 5.
    [Show full text]
  • Georeferencing
    Georeferencing How do we make sure all our data layers line up ? Georeferencing: = linking a layer or dataset with spatial coordinates Registration: = lining up layers with each other Rectification: The process by which the geometry of an image is made planimetric Georeferencing • ‘To georeference’ the act of assigning locations to atoms of information • Is essential in GIS, since all information must be linked to the Earth’s surface • The method of georeferencing must be: – Unique, linking information to exactly one location – Shared, so different users understand the meaning of a georeference – Persistent through time, so today’s georeferences are still meaningful tomorrow Georeferencing Based on Data Types • Raster and Raster • Vector and Vector • Raster and Vector Geocoding Concepts and Definitions Definition of Geocoding • Geocoding can be broadly defined as the assignment of a code to a geographic location. Usually however, Geocoding refers to a more specific assignment of geographic coordinates (latitude,Longitude) to an individual address.. UN Report Definition of Geocoding • What is Geocoding • Geocoding is a process of creating map features from addresses, place names, or similar textual information based on attributes associated with a referenced geographic database, typically a street network that has address ranges associated with each street segment or 'link' running from one intersection to the next. Definition of Geocoding • What is Geocoding • Geocoding typically uses Interpolation as a method to find the location information about an address. – (If the address along one side of a block range from 1 to 199, then Street Number = 66 is about one-third of the way along that side of the block.) • Data required: – Reasonably clean, consistent list of legal addresses (i.e.
    [Show full text]
  • A Comparison of Address Point and Street Geocoding Techniques
    A COMPARISON OF ADDRESS POINT AND STREET GEOCODING TECHNIQUES IN A COMPUTER AIDED DISPATCH ENVIRONMENT by Jimmy Tuan Dao A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE (GEOGRAPHIC INFORMATION SCIENCE AND TECHNOLOGY) August 2015 Copyright 2015 Jimmy Tuan Dao DEDICATION I dedicate this document to my mother, sister, and Marie Knudsen who have inspired and motivated me throughout this process. The encouragement that I received from my mother and sister (Kim and Vanna) give me the motivation to pursue this master's degree, so I can better myself. I also owe much of this success to my sweetheart and life-partner, Marie who is always available to help review my papers and offer support when I was frustrated and wanting to quit. Thank you and I love you! ii ACKNOWLEDGMENTS I will be forever grateful to the faculty and classmates at the Spatial Science Institute for their support throughout my master’s program, which has been a wonderful period of my life. Thank you to my thesis committee members: Professors Darren Ruddell, Jennifer Swift, and Daniel Warshawsky for their assistance and guidance throughout this process. I also want to thank the City of Brea, my family, friends, and Marie Knudsen without whom I could not have made it this far. Thank you! iii TABLE OF CONTENTS DEDICATION ii ACKNOWLEDGMENTS iii LIST OF TABLES iii LIST OF FIGURES iv LIST OF ABBREVIATIONS vi ABSTRACT vii CHAPTER 1: INTRODUCTION 1 1.1 Brea, California
    [Show full text]
  • Toponym Resolution in Scientific Papers
    SemEval-2019 Task 12: Toponym Resolution in Scientific Papers Davy Weissenbachery, Arjun Maggez, Karen O’Connory, Matthew Scotchz, Graciela Gonzalez-Hernandezy yDBEI, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA zBiodesign Center for Environmental Health Engineering, Arizona State University, Tempe, AZ 85281, USA yfdweissen, karoc, [email protected] zfamaggera, [email protected] Abstract Disambiguation of toponyms is a more recent task (Leidner, 2007). We present the SemEval-2019 Task 12 which With the growth of the internet, the public adop- focuses on toponym resolution in scientific ar- ticles. Given an article from PubMed, the tion of smartphones equipped with Geographic In- task consists of detecting mentions of names formation Systems and the collaborative devel- of places, or toponyms, and mapping the opment of comprehensive maps and geographi- mentions to their corresponding entries in cal databases, toponym resolution has seen an im- GeoNames.org, a database of geospatial loca- portant gain of interest in the last two decades. tions. We proposed three subtasks. In Sub- Not only academic but also commercial and open task 1, we asked participants to detect all to- source toponym resolvers are now available. How- ponyms in an article. In Subtask 2, given to- ponym mentions as input, we asked partici- ever, their performance varies greatly when ap- pants to disambiguate them by linking them plied on corpora of different genres and domains to entries in GeoNames. In Subtask 3, we (Gritta et al., 2018). Toponym disambiguation asked participants to perform both the de- tackles ambiguities between different toponyms, tection and the disambiguation steps for all like Manchester, NH, USA vs.
    [Show full text]
  • Guide to Best Practices for Georeferencing Includes Index ISBN: 87-92020-00-3
    Guide to Best Practices for Georeferencing Guide to Best Practices for Georeferencing BioGeomancer Consortium August 2006 Published by: Global Biodiversity Information Facility, Copenhagen http://www.gbif.org Copyright © 2006 The Regents of the University of California. All rights reserved. The information in this book represents the professional opinion of the authors, and does not necessarily represent the views of the publisher or of the Regents of the University of California. While the authors and the publisher have attempted to make this book as accurate and as thorough as possible, the information contained herein is provided on an "As Is" basis, and without any warranties with respect to its accuracy or completeness. The authors, the publisher and the Regents of the University of California shall have no liability to any person or entity for any loss or damage caused by using the information provided in this book. Guide to Best Practices for Georeferencing Includes Index ISBN: 87-92020-00-3 Recommended Citation: Chapman, A.D. and J. Wieczorek (eds). 2006. Guide to Best Practices for Georeferencing. Copenhagen: Global Biodiversity Information Facility. Edited by: Arthur D. Chapman and John Wieczorek Contributors: J.Wieczorek, R.Guralnick, A.Chapman, C.Frazier, N.Rios, R.Beaman, Q.Guo. Contents CONTENTS ..............................................................................................................................................I GLOSSARY ...........................................................................................................................................III
    [Show full text]
  • Using GIS with GPS
    GIS Best Practices Using GIS with GPS March 2009 Table of Contents What Is GIS? 1 GPS-GAP Changes the Way We View the Earth 3 GIS and GPS Integration Eases Public Road Inventory 9 Dominion and Verizon Use Mobile GIS and GPS to Conduct Joint-Use Pole Survey 13 A Cost-Effective Approach to GPS/GIS Integration for Archaeological Surveying 17 Facilities Survey Feasible With GIS and GPS 23 i What Is GIS? Making decisions based on geography is basic to human thinking. Where shall we go, what will it be like, and what shall we do when we get there are applied to the simple event of going to the store or to the major event of launching a bathysphere into the ocean's depths. By understanding geography and people's relationship to location, we can make informed decisions about the way we live on our planet. A geographic information system (GIS) is a technological tool for comprehending geography and making intelligent decisions. GIS organizes geographic data so that a person reading a map can select data necessary for a specifi c project or task. A thematic map has a table of contents that allows the reader to add layers of information to a basemap of real-world locations. For example, a social analyst might use the basemap of Eugene, Oregon, and select datasets from the U.S. Census Bureau to add data layers to a map that shows residents' education levels, ages, and employment status. With an ability to combine a variety of datasets in an infi nite number of ways, GIS is a useful tool for nearly every fi eld of knowledge from archaeology to zoology.
    [Show full text]
  • An Overview of Geotagging Geospatial Location
    An Overview of Geotagging Geospatial location Archival collections may include a huge amount of original documents which contain geospa- tial location (toponym) data. Scientists, researchers and archivists are aware of the value of this information, and various tools have been developed to extract this key data from archival records (Kemp, 2008). Geospatial identification metadata generally involves latitude and longitude coordi- nates, coded placenames and data sources, etc. (Hunter, 2012). Tagging Tagging, a natural result of social media and semantic web technologies, involves labelling content with arbitrarily selected tags. Geotags, which describe the geospatial information of the content, are one of the most common online tag types (Hu & Ge, 2008), (Intagorn , et al., 2010). Geotagging Geotagging refers to the process of adding geospatial identification metadata to various types of media such as e-books, narrative documents, web content, images and video and social media applications (Facebook, Twitter, Foursquare etc) (Hunter, 2012). With various social web tools and applications, users can add geospatial information to web content, photographs, audio and video. Using hardware integrated with Global Positioning System (GPS) receivers, this can be done automatically (Hu & Ge, 2008). 2 Social media tools with geo-tagging capabilities Del.icio.us1 A social bookmarking site that allows users to save and tag web pages and resources. CiteULike2 An online service to organise academic publications that allows users to tag academic papers and books. Twitter3 A real-time micro-blogging platform/information network that allows users all over the world to share and discover what is happening. Users can publish their geotag while tweeting. Flickr4 A photo-sharing service that allows users to store, tag and geotag their personal photos, maintain a network of contacts and tag others photos.
    [Show full text]
  • Enabling Post-Recording Deep Georeferencing of Walkthrough Videos: an Interactive Approach
    Enabling post-recording deep georeferencing of walkthrough videos: an interactive approach by Samuel Navas Medrano A thesis submitted in partial fulfillment for the Master degree of Science in Geospatial Technologies in the Institute for Geoinformatiks February 2016 Declaration of Authorship I, SAMUEL NAVAS MEDRANO, declare that this thesis titled, `ENABLING POST- RECORDING DEEP GEOREFERENCING OF WALKTHROUGH VIDEOS: AN IN- TERACTIVE APPROACH' and the work presented in it are my own. I confirm that: This work was done wholly or mainly while in candidature for a Master degree at this University. Where any part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution, this has been clearly stated. Where I have consulted the published work of others, this is always clearly at- tributed. Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. I have acknowledged all main sources of help. Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed myself. Signed: Samuel Navas Medrano Date: 26th of February, 2016 i \I'll sleep well tonight." Henry Ford Abstract Institute for Geoinformatiks MSc in Science of Geospatial Technologies by Samuel Navas Medrano The usage of large scale databases of georeferenced video stream has an infinite number of applications in industry and research since efficient storing in geodatabases to allowing the performing of spatial queries.
    [Show full text]
  • A Geocoding Best Practices Guide
    A Geocoding Best Practices Guide By Daniel W. Goldberg November 2008 University of Southern California GIS Research Laboratory SPONSORING ORGANIZATIONS: Canadian Association of Provincial Cancer Agencies Canadian Partnership Against Cancer Centers for Disease Control and Prevention College of American Pathologists National Cancer Institute National Cancer Registrars Association Public Health Agency of Canada SPONSORS WITH DISTINCTION: American Cancer Society American College of Surgeons American Joint Committee on Cancer North American Association of Central Cancer Registries, Inc. A GEOCODING BEST PRACTICES GUIDE SUBMITTED TO THE NORTH AMERICAN ASSOCIATION OF CENTRAL CANCER REGISTRIES NOVEMBER 10, 2008 BY DANIEL W. GOLDBERG UNIVERSITY OF SOUTHERN CALIFORNIA GIS RESEARCH LABORATORY This page is left blank intentionally. D. W. Goldberg TABLE OF CONTENTS List of Tables .............................................................................................................. vii List of Figures .............................................................................................................. ix List of Equations .......................................................................................................... x List of Best Practices ................................................................................................... xi List of Acronyms ........................................................................................................ xiii Foreward ...................................................................................................................
    [Show full text]
  • Georeferencing Wikipedia Pages Using Language Models from Flickr
    Georeferencing Wikipedia pages using language models from Flickr Chris De Rouck1, Olivier Van Laere1, Steven Schockaert2, and Bart Dhoedt1 1 Department of Information Technology, IBBT, Ghent University, Belgium, fchris.derouck,olivier.vanlaere,[email protected] 2 Department of Applied Mathematics and Computer Science, Ghent University, Belgium, [email protected] Abstract. The task of assigning geographic coordinates to web resources has recently gained in popularity. In particular, several recent initiatives have focused on the use of language models for georeferencing Flickr photos, with promising results. Such techniques, however, require the availability of large numbers of spatially grounded training data. They are therefore not directly applicable for georeferencing other types of re- sources, such as Wikipedia pages. As an alternative, in this paper we explore the idea of using language models that are trained on Flickr photos for finding the coordinates of Wikipedia pages. Our experimental results show that the resulting method is able to outperform popular methods that are based on gazetteer look-up. 1 Introduction The geographic scope of a web resource plays an increasingly important role for assessing its relevance in a given context, as can be witnessed by the popularity of location-based services on mobile devices. When uploading a photo to Flickr, for instance, users can explicitly add geographical coordinates to indicate where it has been taken. Similarly, when posting messages on Twitter, information may be added about the user's location at that time. Nonetheless, such coordinates are currently only available for a minority of all relevant web resources, and techniques are being studied to estimate geographic location in an automated way.
    [Show full text]