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XVIIIth Congress (Part B3)

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fullscreen: XVIIIth Congress (Part B3)

Multivolume work

Persistent identifier:
1667435949
Title:
XVIIIth Congress
Sub title:
Vienna, Austria 1996
Year of publication:
1996
Place of publication:
Vienna
Publisher of the original:
Austrian Society of Surveying and Geoinformation
Identifier (digital):
1667435949
Language:
English
Editor:
Kraus, Karl
Waldhäusl, Peter
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
Document type:
Multivolume work

Volume

Persistent identifier:
1667440764
Title:
XVIIIth Congress
Scope:
1050 Seiten
Year of publication:
1996
Place of publication:
Vienna
Publisher of the original:
Austrian Society of Surveying and Geoinformation
Identifier (digital):
1667440764
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(31,B3)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist anhand des Copyrightjahrs ermittelt.
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Kraus, Karl
Waldhäusl, Peter
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Mathematical Analysis of Data
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Mathematical Analysis of Data
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Mathematical Analysis of Data
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien
International Society for Photogrammetry and Remote Sensing
International Society for Photogrammetry and Remote Sensing, Commission Mathematical Analysis of Data
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
IMAGE CLASSIFICATION USING NON-PARAMETRIC CLASSIFIERS AND CONTEXTUAL INFORMATION F. J. Cortijo and N. Perez de la Blanca
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XVIIIth Congress
  • XVIIIth Congress (Part B3)
  • Cover
  • Title page
  • ISPRS Council 1992 - 1996
  • International Archives of Photogrammetry and Remote Sensing (IAPRS)
  • Volume XXXI, Part B3
  • Technical Commission III Theory and Algorithms
  • Editorial Team
  • Copyright 1996
  • For Sale after the Congress
  • ISPRS Commission III "Theory and Algorithms"
  • PREFACE
  • Table of Contents
  • Using Homogeneous Coordinates to Solve The Problems of Determining The Orientation Parameters of Non-Metric Cameras and The Reconstruction of Space Models Mohammed El-Shafei Abdel-Latif and Ahmed M. Elsonbaty
  • SCALE DIFFERENCE CONSIDERATIONS IN CONJUGATE FEATURE MATCHING Anthony Stefanidis, Peggy Agouris
  • FROM MANUAL TO AUTOMATIC STEREOPLOTTING: EVALUATION OF DIFFERENT ROAD NETWORK CAPTURE PROCESSES Sylvain AIRAULT, Olivier JAMET, Frédéric LEYMARIE
  • GEOMETRIC CORRECTION OF AIRBORNE LINE-SCANNER IMAGERY Michael Breuer and Jörg Albertz
  • COMPRESSION OF REMOTELY SENSED DATA USING JPEG Dafer Ali Algarni
  • Automatic stereo image matching using edge detection technique Dr. Rehab H. Alwan,Mr. Mohamed A. Naji
  • DEM Estimation with Simulated Annealing Based on Surface Reconstruction Method Kohei Arai
  • OUTLIER DETECTION IN RELATIVE ORIENTATION - REMOVING OR ADDING OBSERVATIONS Peter Axelsson
  • THEMATIC CLASSIFICATION OF A LANDSAT IMAGE USING NEURAL NETWORKS Árpád BARSI
  • UPDATE OF ROADS IN GIS FROM AERIAL IMAGERY: VERIFICATION AND MULTI-RESOLUTION EXTRACTION A. Baumgartner, C. Steger, C. Wiedemann, H. Mayer, W. Eckstein, H. Ebner
  • A HIERARCHICAL SPATIAL CANONICAL DATA MODEL - TOWARDS FEDERATING HETEROGENEOUS GISs Yaser A. Bishr, M.Sc. [...]
  • Detection and extraction of complex map symbols Ruedi Boesch
  • GENERATION AND USE OF DIGITAL SURFACE MODELS FOR VOLUME OBJECTS Frank Boochs and Guido Heinz
  • ON CRITICAL CONFIGURATIONS OF PROJECTIVE STEREO CORRELATION Gerhard Brandstätter
  • RECOGNITION OF HATCHED CARTOGRAPHIC PATTERNS Regine Brügelmann
  • A COMMON FRAMEWORK FOR THE EXTRACTION OF LINES AND EDGES Andreas Busch
  • A THINKING COMING AFTER A DYNAMIC MONITORY GIS Hong-Jing Chen, [...] Wen-Li Chen, [...]
  • SPATIAL RELATIONS BETWEEN SETS Xiaoyong CHEN
  • SPATIAL RELATIONS BETWEEN UNCERTAIN SETS Xiaoyong CHEN, Takeshi DOIHARA and Mitsuru NASU
  • RELATIONAL MATCHING FOR AUTOMATIC ORIENTATION Woosug Cho
  • IMAGE CLASSIFICATION USING NON-PARAMETRIC CLASSIFIERS AND CONTEXTUAL INFORMATION F. J. Cortijo and N. Perez de la Blanca
  • EXTERIOR ORIENTATION BY DIRECT MEASUREMENT OF CAMERA POSITION AND ATTITUDE J. Skaloud, M. Cramer and K. P. Schwarz
  • RELATIONAL MATCHING APPLIED TO AUTOMATIC EXTRACTION OF GROUND CONTROL IN DIGITAL IMAGES Aluir Porfirio Dal Poz [...] Antonio Maria Garcia Tommaselli [...] Jorge Pimentel Cintra [...]
  • A NEW APPROACH FOR SPATIAL MEASUREMENT OF DYNAMICAL PROCESSES Lionel Dorffner
  • AUTOMATIC REGISTRATION OF IMAGES WITH MAPS USING POLYGONAL FEATURES I J Dowman, A Morgado and V Vohra
  • AUTOMATIC EXTERIOR ORIENTATION OF AERIAL IMAGES IN URBAN ENVIRONMENTS C. Drewniok, K. Rohr
  • GPS CONTROLLED STRIP TRIANGULATION USING GEOMETRIC CONSTRAINTS OF MAN-MADE STRUCTURES H. Ebadi and M. A. Chapman
  • ORIENTATION OF MOMS-02/D2 AND MOMS-2P IMAGERY H. Ebner, T. Ohlhof, E. Putz
  • SEGMENTATION AND TEXTURE ANALYSIS W. Eckstein
  • A FRAMEWORK FOR THE ASSESSMENT OF LOCAL SPATIAL UNCERTAINTY USING A POLYGON APPROACH R. C. Allan & G. P. Ellis
  • VARIANCE DECOMPOSITION AND ITS APPLICATION IN PHOTOGRAMMETRY Mohamed ETTARID, Ph.D.
  • PRESERVING TOPOGRAPHY IN 3D DATA COMPRESSION FOR SHAPE RECOGNITION Reda Ezzat Fayek
  • PROMPT - A NEW BUNDLE ADJUSTMENT PROGRAM USING COMBINED PARAMETER ESTIMATION Manfred Fellbaum
  • IMAGE ORIENTATION EXCLUSIVELY BASED ON FREE-FORM TIE CURVES Gerald Forkert
  • USING PERCEPTUAL GROUPING FOR ROAD RECOGNITION G. Forlani, E. Malinverni, C. Nardinocchi
  • EXTERIOR ORIENTATION DETERMINATION OF MOMS-02 THREE-LINE IMAGERY: EXPERIENCES WITH THE AUSTRALIAN TESTFIELD DATA Clive Fraser and Juliang Shao
  • THREE-DIMENSIONAL GEOGRAPHIC INFORMATION SYSTEMS - STATUS AND PROSPECTS Dieter Fritsch
  • MODEL-BASED OPTIMIZATION: ACCURATE AND CONSISTENT SITE MODELING P. Fua
  • SIGNIFICANCE-WEIGHTED FEATURE EXTRACTION FROM HYPER-DIMENSIONAL DATA AND ITS APPLICATIONS Sadao Fujimura and Senya Kiyasu
  • COMPUTER UNDERSTANDING OF SUB-PIXEL LAND COVERS Jayanta Kumar Ghosh.
  • THE TOGRAPHY OF ASTEROID IDA: A COMPARISON BETWEEN PHOTOGRAMMETRIC AND TWO-DIMENSIONAL PHOTOCLINOMETRIC IMAGE ANALYSIS B. Giese, J. Oberst, R. Kirk, and W. Zeitler
  • Multi-spectral Quadtree based Image Segmentation Ben G. H. Gorte
  • FUSION OF 2D GIS DATA AND AERIAL IMAGES FOR 3D BUILDING RECONSTRUCTION Marko Pasko, Michael Gruber
  • REQUIREMENTS FOR PHOTOREALISTIC 3D MODELLING OF URBAN AREAS Michael Gruber, Franz Leberl and Markus Maresch
  • Linear feature extraction with LSB-Snakes from multiple images Armin Gruen, Haihong Li
  • THREE-DIMENSIONAL REPRESENTATION OF SPATIAL OBJECT AND TOPOLOGICAL RELATIONSHIPS Wei GUO
  • DEFORMABLE MODELS AS A PHOTOGRAMMETRIC MEASUREMENT TOOL - POTENTIAL AND PROBLEMS Eberhard Gülch
  • FUSION OF 2D-GIS AND IMAGE DATA FOR 3D BUILDING RECONSTRUCTION Norbert Haala and Karl-Heinrich Anders
  • SEMI-AUTOMATIC MEASUREMENT OF SIGNALIZED GROUND CONTROL POINTS AT DIGITAL PHOTOGRAMMETRIC WORKSTATIONS Michael Hahn, Michael Kiefner, Antje Quednau and Esther Hinz
  • AUTOMATION OF INTERIOR, RELATIVE AND ABSOLUTE ORIENTATION Christian Heipke
  • Detection of Lines in Synthetic Aperture Radar (SAR) Scenes Olaf Hellwich, Helmut Mayer and Gerhard Winkler
  • PROJECT AMOBE: STRATEGIES, CURRENT STATUS AND FUTURE WORK Olof Henricsson, Frank Bignone, Wolfram Willuhn, Frank Ade, Olaf Kübler, Emmanuel Baltsavias, Scott Mason, Armin Grün
  • ORTHO-MOSAICS AND DIGITAL ELEVATION MODELS FROM AIRBORNE VIDEO IMAGERY USING PARALLEL GLOBAL OBJECT RECONSTRUCTION Mikael Holm, George Denissoff, Kaj Juslin, Matti Paljakka, Markku Rantasuo, Susanna Rautakorpi
  • AUTOMATIC TIE POINT EXTRACTION IN AERIAL TRIANGULATION Eija Honkavaara and Anton Hogholen
  • ON THE TECHNIQUE FOR TERRAIN ROUGHNESS DETERMINATION lon Ionescu
  • OEEPE RESEARCH PROJECT AEROTRIANGULATION USING DIGITIZED IMAGES FINAL RESULTS Juha Jaakkola and Tapani Sarjakoski
  • A New Approach of Combined Block Adjustment Using GPS-Satellite Constellation Jacobsen, Karsten, [...] Schmitz, Martin, [...]
  • SEGMENTATION OF REMOTE SENSING IMAGES WITH A LAYERED GRAPH NETWORK Herbert Jahn
  • EXTRACTION AUTOMATIQUE D’OBJETS SUR STATIONS PHOTOGRAMMETRIQUES NUMERIQUES (Automated Feature Extraction on Digital Photogrammetric Systems) Olivier JAMET
  • AIRBORNE GPS K. Jeyapalan
  • Capture and evaluation of airborne laser scanner data Johannes Kilian, Norbert Haala and Markus Englich
  • SHAPE DISCRIMINATION BY DESCRIPTORS AND MOMENTS USING NEURAL NETWORK Kyoung-Ok Kim, Young-Kyu Yang, Yong-Hui Park, Tae-Kyun Kim
  • Advanced Combined Bundle Block Adjustment with Kinematic GPS Data Dr. Erwin Kruck [...] & dr. Gerhard Wübbena, Andreas Bagge [...]
  • DO IT ON THE GROUND: INCREASING RELIABILITY AND ACCURACY OF AUTOMATIC AEROTRIANGULATION BY MATCHING IN THE OBJECT SPACE Amnon Krupnik
  • An Integral Approach to Automatic Aerial Triangulation and Automatic DEM Generation Krzystek P., Heuchel T., Hirt U., Petran, F.
  • 3D-CITY MODELING WITH A DIGITAL ONE-EYE STEREO SYSTEM Felicitas Lang, Wolfgang Förstner
  • SURFACE RECONSTRUCTION F. Leberl, M. Gruber, W. Kellerer-Pirklbauer, A. Pinz, P. Uray
  • SYSTEMATIC CORRECTION MECHANISM OF GEOMETRIC DISTORTIONS IN THE KITSAT-1 CCD EARTH IMAGES Impyeong Lee [...], Taejung Kim [...], Soon D. Choi [...]
  • A SURVEY ON BOUNDARY DELINEATION METHODS Mathias J. P. M. Lemmens
  • Relational Structure Description and Matching Algorithm for 3D Objects Deren Li [...] Xinhua Wang [...]
  • OPTIMAL ACQUISITION OF 3D OBJECT COORDINATES FROM STEREOSCOPIC IMAGE SEQUENCES Rongxing Li, Mike A. Chapman, and Weihong Zou
  • TRANSFORMATION OF SPATIAL REPRESENTATION IN SCALE DIMENSION: A NEW PARADIGM FOR DIGITAL GENERALIZATION OF SPATIAL DATA Dr. Zhilin Li
  • GIS FOR THE NEXT CENTURY Ales Limpouch
  • APPLICATION OF RANDOM DECISION RULES IN LASER LOCATOR IMAGE OPTIMAL SEGMENTATION ALGORITHMS V. M. Lisitsyn. N. N. Pasechny. V. A. Stefanov, V. P. Samoilov, D. A. Lukanidin
  • THE POSITION AND ORIENTATION SYSTEM (POS) FOR SURVEY APPLICATIONS Erik Lithopoulos, Dr. Blake Reid, Dr. Bruno Scherzinger
  • LINEAR FEATURES EXTRACTION BY STRING MATCHING FOR AUTOMATIC DEM GENERATION King-Chang Lo
  • TOWARDS A HIGHER LEVEL OF AUTOMATION FOR SoftPlotter™ Yan Lue, Senior Photogrammetric Engineer
  • Automatic DEM generation by multi-image feature based matching Hans-Gerd Maas
  • DIGITAL AERIAL TRIANGULATION - THE OPERATIONAL COMPARISON Mostafa Madani, Ph.D.
  • PROCESSING OF PROTRUDING OBJECTS IN DIGITAL IMAGES OF URBAN AREAS Borislav D. Marinov
  • EQUIVALENT MAPS FOR AREAL ELEMENTS OF ENVIRONMENT? Zbynek MARSIK, Prof. Ing. DrSc
  • THE USE OF GRAVITY FOR GIS DATA SETS OPTIMIZATION. I. A. Maslov. [...]
  • 3D BUILDING RECONSTRUCTION USING COMPOSITES OF SURFACE PRIMITIVES: CONCEPT Scott Mason
  • ABSTRACTION AND SCALE-SPACE EVENTS IN IMAGE UNDERSTANDING Helmut Mayer
  • BUNDLE ADJUSTMENT WITH GEOMETRIC CONSTRAINTS FOR HYPOTHESIS EVALUATION Chris McGlone
  • FEATURE-BASED PHOTOGRAMMETRIC AND INVARIANCE TECHNIQUES FOR OBJECT RECONSTRUCTION H. F. Barakat, K. Weerawong, and Edward M. Mikhail, [...]
  • MULTI-SCALE APPROACHES FOR GEODATA Martien Molenaar
  • ACCURACY IMPROVEMENT IN AUTOMATED SURFACE MEASUREMENT Mushairry Mustaffar
  • CONJUGATE POINTS IN THE ORIENTATION OF ACROSS AND ALONG TRACK STEREOMODELS FRANCELINA A. NETO
  • MATCHING IN 2-D AND 3-D R. Nevatia
  • Recovering Unknown Focal Lengths in Self-Calibration: An Essentially Linear Algorithm and Degenerate Configurations G. N. Newsam, D. Q. Huynh, M. J. Brooks, H.-P. Pan
  • ORTHOGONAL 3-D RECONSTRUCTION USING VIDEO IMAGES Ilkka Niini
  • The Leica system for orientation of linear array sensor imagery Azubuike G. Nwosu and Alfons Meid
  • EXPERIENCES WITH THE HELAVA AUTOMATED TRIANGULATION SYSTEM Thomas Kersten, William O’ Sullivan
  • LOCAL, REGIONAL AND GLOBAL POINT DETERMINATION USING THREE-LINE IMAGERY AND ORBITAL CONSTRAINTS Timm Ohlhof
  • Orientation and Free Network Theory of Satellite CCD Line-Scanner Imagery Atsushi Okamoto, [...] Susumu Hattori, [...] Hiroyuki Hasegawa, [...] Tetsu Ono, [...]
  • Fundamental Analytic of Satellite CCD Camera Imagery Using Affine Transformation Tetsu Ono, [...] Atsushi Okamoto, [...] Susumu Hattori, [...] Hiroyuki Hasegawa, [...]
  • SURFACE BASED OBJECT RECOGNITION AND INSPECTION BY PHOTOMETRICALLY EXTENDED BUNDLE ADJUSTMENT TECHNIQUE A. B ORUN, Researcher [...] Prof. Dr. A. ALKIS [...]
  • UNIFORM FULL-INFORMATION IMAGE MATCHING USING COMPLEX CONJUGATE WAVELET PYRAMIDS He-Ping Pan
  • Basis of the Orthoimage Generation Method Zygmunt Paszotta, Renata Jedryczka
  • AUTOMATED MEASUREMENT OF GROUND CONTROL OBJECTS IN LARGE SCALE AERIAL PHOTOGRAPHS Bjarke Moller Pedersen
  • Surface Models on the Basis of a Triangular Mesh - Surface Reconstruction Norbert Pfeifer [...] Helmut Pottmann [...]
  • DTM REFINEMENT USING MULTI IMAGE SHAPE FROM SHADING C. Piechullek, C. Heipke
  • CURVE SHAPE MATCHING AND DIFFERENCE DETECTION Jarmo Pirhonen
  • Rectangular Building 3D Reconstruction in Urban Zones Thierry QUIGUER
  • COLOUR AERIAL IMAGE SEGMENTATION USING A BAYESIAN HOMOGENEITY PREDICATE AND MAP KNOWLEDGE F. Quint, S. Landes
  • EVALUATING MODEL FIDELITY IN AN AERIAL IMAGE ANALYSIS SYSTEM F. Quint, M. Sties
  • CONTROLLING AERIAL PHOTOGRAPHY FROM TOPGRAPHIC MAPPING USING A MULTI-SENSOR BUNDLE ADJUSTMENT Michael Reading, James Carswell, Phil Kern, [...]
  • MAP SYMBOL RECOGNITION USING DIRECTED HAUSDORFF DISTANCE AND A NEURAL NETWORK CLASSIFIER Eric Reiher, Fady Said, Ying Li, and Ching Suen
  • STEREO PROCESSING WITH ATTITUDE-DISTURBED IMAGE DATA Anko Börner, Ralf Reulke, Martin Scheele, Thomas Terzibaschian
  • THREE DIMENSIONAL OBJECT RECONSTRUCTION BY OBJECT SPACE MATCHING Franz Rottensteiner
  • AUTOMATIC DIGITAL TERRAIN MODEL GENERATION USING AERIAL IMAGES AND MAPS. Michel Roux, Jaime Lopez-Krahe, Henri Maître
  • AN IMAGE MATCHING SCHEME USING A HYBRID FEATURE- AND AREA BASED APPROACH Nick van der Merwe and Heinz Rüther
  • SEMANTIC MODELS AND OBJECT RECOGNITION IN COMPUTER VISION G. Sagerer, F. Kummert, G. Socher
  • LEAST SQUARES MATCHING BY SEARCH Tapani Sarjakoski and Jussi Lammi
  • ON THE USE OF MODERN GPS RECEIVER AND SOFTWARE TECHNOLOGY FOR PHOTOGRAMMETRIC APPLICATIONS Holger Schade
  • DIGITAL AERIAL TRIANGULATION Toni Schenk
  • THE AUTOMATIC INTERIOR ORIENTATION AND ITS DAILY USE Wolfgang Schickler, Zoltan Poth
  • Satellite Image Analysis using Integrated Knowledge Processing K.-J. Schilling and T. Vögtle
  • HIGH RESOLUTION SURFACE RECONSTRUCTION OF A LANDSCAPE FROM LARGE SCALE AERIAL IMAGERY BY FACETS STEREO VISION - AN EXTENDED TEST M. Schlüter and B. P. Wrobel
  • REMOTE SENSING IMAGE UNDERSTANDING BASED ON PHYSICAL MODEL INVERSION Werner Schneider
  • RESULTS OF THE TEST ON IMAGE UNDERSTANDING OF ISPRS WORKING GROUP III/3 Monika Sester, Werner Schneider and Dieter Fritsch
  • KINEMATIC MULTI-SENSOR SYSTEMS FOR CLOSE RANGE DIGITAL IMAGING K. P. Schwarz and N. El-Sheimy
  • OBJECT RECONSTRUCTION WITHOUT INTERIOR ORIENTATION J. Shan
  • TERRAIN MORPHOLOGY MODELLING Massoud Sharif, Alfred Zinck
  • SCANNER RESECTION USING TRAJECTORY DATA Fergal Shevlin
  • SPATIO-TEMPORAL INTERPOLATION OF CLASS VARIABLES BY INTEGRATING OBSERVATIONAL DATA AND A BEHAVIORAL MODEL WITH GENETIC ALGORITHM(GA) Shaobo HUANG and Ryosuke SHIBASAKI
  • ADAPTIVE RECONSTRUCTION METHOD OF MULTISPECTRAL IMAGES Michal Haindl [...] Stanislava Simberová [...]
  • ADVANCES IN GPS-ASSISTED HELICOPTER PHOTOGRAMMETRY AND ITS APPLICATION TO HIGH PRECISION HIGHWAY PROFILING Martin J Smith and Chris I H Joy
  • EXTRACTING LINES USING DIFFERENTIAL GEOMETRY AND GAUSSIAN SMOOTHING Carsten Steger
  • SEGMENTATION OF OPTICAL SATELLITE IMAGERY USING SPATIAL SUBPIXEL ANALYSIS Joachim Steinwendner
  • STRUCTURAL 3D-ANALYSIS OF URBAN SCENES FROM AERIAL IMAGES U. Stilla, K. Jurkiewicz
  • A NEW METHOD OF BUILDING GIS APPLICATION MODEL BASED ON GRAPHICAL VARIABLES Zhu Zesheng, Sun Ling
  • AUTOMATIC RELATIVE ORIENTATION - REALIZATION AND OPERATIONAL TESTS Liang Tang and Zoltan Poth [...] Timm Ohlhof, Christian Heipke and Joachim Batscheider [...]
  • COUPLING GIS AND ENVIRONMENTAL MODELLING: THE IMPLICATIONS FOR SPATIO-TEMPORAL DATA MODELLING Cheng Tao, Wolfgang Kainz, Robert A. van Zuidam
  • AN INTEGRATED APPROACH TO ROAD CENTERLINE RECONSTRUCTION USING STEREO IMAGE SEQUENCES FROM A MOBILE MAPPING SYSTEM Chuang Tao
  • EXTRACTING HIGH RESOLUTION DIGITAL ELEVATION MODELS AND FEATURES IN A SOFTCOPY ENVIRONMENT Charles K. Toth and Andre Templer
  • KNOWLEDGE BASED MODELLING OF LANDSCAPES Ralf Tönjes
  • EXTRACTION OF MAN-MADE FEATURES BY 3-D ACTIVE CONTOUR MODELS John C. Trinder [...] Haihong Li [...]
  • ORIENTING DIGITAL STEREOPAIRS BY MATCHING FOURIER DESCRIPTORS Yi-Hsing Tseng
  • AN EDGE DETECTOR BASED ON WIDE-NARROW MORPHOLOGICAL OPERATIONS OF SATELLITE REMOTE SENSING IMAGES Makoto KAWAMURA, [...] Yuji TSUJIKO, [...] Sanath JAYAMANNA, [...]
  • SPATIAL CADASTRAL BOUNDARY CONCEPTS AND UNCERTAINTY IN PARCEL-BASED INFORMATION SYSTEM A M Tuladhar
  • AN AUTOMATED DIGITAL APPROACH FOR THE GENERATION OF DIGITAL TERRAIN MODELS USING HRSC AND WAOSS IMAGE DATA OF THE MARS96 MISSION Robert Uebbing
  • EVENTS-BASED IMAGE ANALYSIS FOR MACHINE VISION AND DIGITAL PHOTOGRAMMETRY Yury V. Visilter, Sergei Yu. Zheltov, Alexander A. Stepanov
  • AUTOMATIC EXTRACTION OF LARGE BUILDINGS FROM HIGH RESOLUTION SATELLITE IMAGES FOR REGISTRATION WITH A MAP V K Vohra and I J Dowman
  • UNCERTAINTY IN GIS SUPPORTED ROAD EXTRACTION George Vosselman
  • Structural Matching and Its Applications for Photogrammetric Automation Dr. Younian Wang
  • AN APPROACH TO BUILDING EXTRACTION FROM DIGITAL SURFACE MODELS U. Weidner
  • Ladex: A New Index Mechanism in Spatial Object Database System Xiao Weiqi, Feng Yucai
  • DETERMINATION OF CONJUGATE POINTS OF STEREOSCOPIC THREE LINE SCANNER DATA OF MARS 96 MISSION Franz Wewel
  • A NEW MATCHING APPROACH FOR THREE-LINE SCANNER IMAGERY C. Wiedemann, L. Tang, T. Ohlhof
  • AUTOMATIC BREAKLINE DETECTION USING AN EDGE PRESERVING FILTER Dietmar Wild, Peter Krzystek [...] Mostafa Madani [...]
  • FINDING 3D-STRUCTURES IN MULTIPLE AERIAL IMAGES USING LINES AND REGIONS Hakan Wiman, Peter Axelsson
  • FACETS STEREO VISION (FAST VISION) APPLIED TO DIGITAL COLOUR IMAGES B. Kaiser, B. P. Wrobel
  • EIN ANSATZ ZUR VEGETATIONSERKENNUNG AUS LUFTBILDERN MIT HILFE VON MARKOV-ZUFALLSFELDERN IN VERBINDUNG MIT DER OBERFLÄCHENREKONSTRUKTION B. Wrobel, A. Krauth, [...]
  • WAVELETS BASED OBJECT SURFACE RECONSTRUCTION BY FAST VISION Jaan-Rong Tsay, Bernhard P. Wrobel [...] Reinhold Schneider [...]
  • MULTI-POINT LEAST SQUARES MATCHING WITH ARRAY RELAXATION UNDER VARIABLE WEIGHT MODELS Xiaoliang Wu
  • Automatic Point Transfer: a practical application of optimal digital image matching based on local invariant properties X. Xu, ZG. Tan
  • DECISION TREE CLASSIFIER WITH UNDETERMINED NODES Masanobu Yoshikawa, Sadao Fujimura, Shojiro Tanaka, and Ryuei Nishii
  • Estimation of a Rriori Probabilities of Landcover Categories for Bayes' Classifier Kunihiko Yoshino, Keiji Kushida
  • MULTISCALE APPROACH TO IMAGE TEXTURE Zhang Jixian
  • METHODS OF THE BUNDLE BLOCK ADJUSTMENT OF PLANETARY IMAGE DATA W. Zhang, B. Giese, J. Oberst, R. Jaumann
  • A Hierarchical Neural Network Approach to Three-Dimensional Object Recognition Yongsheng Zhang
  • Recognizing Primitives Using Aspect-Interpretation Model Matching in A Both CAD and LP-based Measurement System Zhou Guoging
  • DE-SHADING: INTEGRATED APPROACH TO PHOTOMETRIC MODEL, SURFACE SHAPE AND REFLECTANCE PROPERTIES Xiuguang Zhou, Egon Dorrer
  • REMOTE SENSING IMAGE TEXTURE ANALYSIS AND CLASSIFICATION WITH WAVELET TRANSFORM Changqing Zhu
  • Appendix: Authors and Co-authors Index Volume XXXI, Part B3 - ISPRS Commission lll
  • Appendix: Keywords Index Volume XXXI, Part B3 - ISPRS Commission lll
  • Title page
  • Cover

Full text

IMAGE CLASSIFICATION USING NON-PARAMETRIC 
CLASSIFIERS AND CONTEXTUAL INFORMATION * 
F.J. Cortijo and N. Perez de la Blanca 
Depto. Ciencias de la Computación e I. A. (DECSAI) 
E.T.S. Ingeniería Informática 
Universidad de Granada 
18071 Granada, Spain 
cb@robinson.ugr.es 
Commision Ill, Working Group 2 
KEY WORDS: Classification, Learning, Algorithms, Combination, Accuracy, Pattern Recognition, Contextual Classification 
ABSTRACT 
This paper shows some combinations of classifiers that achieve high accuracy classifications. Traditionally it is used the 
maximum likelihood classification as the initial classification for the contextual correction. We will show that using non- 
parametric spectral classifiers to obtain the initial classification we can improve the accuracy of the classification significatively 
with a reasonable computational cost. More specifically we propose to apply the contextual correction performed by the ICM 
algorithm to some non-parametric spectral classifications. 
1 INTRODUCTION 
Supervised classifiers assume the existence of a training set 
T composed by n labeled training samples, where the labels 
represent informational classes (labels). This information is 
used for learning -construction of the classifier- and usually 
for testing too. We will note by Q = {w1,w2,...,ws} to the 
set of informational classes and by X to the samples used for 
learning and classifying. We assume they are d-dimensional 
random variables. 
Spectral classifiers use only the spectral information related 
to the pixel to be classified. The thematic map they give as 
output has the overall impression of a “noisy” classification. 
This effect is more evident when there is overlapping among 
the training sets in the spectral space [Cortijo et al., 1995]. 
In this case it is necessary a post-processing over the initial 
classification because it is expected to find homogeneous re- 
gions in the map as they can be found in the Nature. The 
straightforward solution consists in incorporating additional 
information into the classifier related to the spatial neighbor- 
hood -its context- of the pixel to classify. That information 
may be the spectral values of the spatial-neighbors pixels, 
their labels or both kinds of information combined in some 
way. When this kind of information is used for classification 
the classifier is known as a contextual classifier. 
From a general point of view a contextual classifier can be 
seen as a smoothing process over an initial image of labels. 
This map is obtained usually by a spectral classifier. lt is 
well known that some contextual classifiers achieve a local 
optimum [Besag, 1986] determined by the initial classifica- 
tion. It is used traditionally the maximum likelihood (ML) 
classification as the starting point for the smoothing process. 
We have shown [Cortijo & Pérez de la Blanca, 1996a] that 
the ML classifier is not the best choice when the training 
sets are high-overlapped. In this work we propose the use of 
different spectral classifications as initial classifications to a 
contextual classifier in order to obtain high-accuracy classi- 
fications with a reasonable computational cost. 
In order to achieve a higher accuracy it looks reasonable to 
  
*This work has been supported by the Spanish "Dirección General de 
Ciencia y Tecnologia” (DGCYT) under grant PB-92-0925-C02-01 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996 
adopt a high accuracy spectral classification as starting point 
to the contextual classifier, given that contextual classifiers 
assure convergence to a local maximum. Our proposal con- 
sists in adopting different spectral classifications as starting 
points with the aim of improving the accuracy of the conven- 
tional methodology consisting in contextually correcting the 
ML classification. Many others spectral classifiers improve 
significatively the results obtained by the ML classifier and 
the classifications obtained by them are good candidates to 
be the initial classifications for contextual classifiers. Finally, 
we must considere the required computational effort to per- 
form the global process: spectral classification followed by 
the contextual classification. For a particular contextual clas- 
sifier it is obvious that the contextual classification effort is 
the same for any initial classification, thus the global com- 
putational effort is determined by the spectral classification 
computing demands. 
This paper is organized as follows: In section 2 we describe 
the methodology we have adopted in this work together with 
a brief description of the classifiers we have used. In section 3 
we describe the datasets used in this paper and in section 4 
we show the results obtained. Finally, the main conclusions 
we have achieved are summarized in section 5. 
2 METHODOLOGY 
Our objective in this work is to show some combinations of 
classifiers that achieve high-accuracy classifications. In order 
to determine some interesting combinations of classifiers for 
Remote Sensing image classification we have tested a wide 
number of families of spectral and contextual classifiers. 
2.1 Spectral Classifiers 
Spectral classifiers are partitioned in two main categories: 
a) parametric classifiers, if they assume the existence of an 
underlying probability distribution of the data and b) non- 
parametric classifiers, if they do not assume anything about 
the probability distribution. 
The structure of the Bayes classifier is determined, basically, 
by the probability density functions (pdf's) p(X|wi). The 
objective in the construction of a supervised parametric clas- 
sification rule is to characterize the pattern of each class in 
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Kraus, Karl, and Peter Waldhäusl. XVIIIth Congress. Austrian Society of Surveying and Geoinformation, 1996.
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