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Resource and environmental monitoring

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Copyright

CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Resource and environmental monitoring

Monograph

Persistent identifier:
1669065049
Title:
Resource and environmental monitoring
Sub title:
September 1 - 4, 1998, Budapest, Hungary ; ISPRS Commission VII symposium
Scope:
XV, 818 Seiten, 15 ungezählte Seiten mit Bildtafeln
Year of publication:
1998
Place of publication:
Coventry
Publisher of the original:
RICS Books
Identifier (digital):
1669065049
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(32,7)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Corporations:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
Adapter:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
Founder of work:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
Other corporate:
ISPRS Commission VII Symposium Resource and environmental monitoring, 1998, Budapest
International Society for Photogrammetry and Remote Sensing, Commission of Resource and Environmental Monitoring
Hungarian Society for Surveying, Mapping and Remote Sensing
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:
Monograph
Collection:
Earth sciences

Chapter

Title:
Working Group 4 AUTOMATED IMAGE INTERPRETATION AND ANALYSIS
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
MULTISENSOR DATA FUSION FOR AUTOMATIC SCENE INTERPRETATION Bea Csathó [...] Toni Schenk [...]
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Resource and environmental monitoring
  • Cover
  • ColorChart
  • Title page
  • Title page
  • ISPRS COUNCIL (1996 - 2000)
  • International Archives of Photogrammetry and Remote Sensing Volume XXXII, Part 7
  • Technical Commission VII Resource and Environmental Monitoring
  • For Sale after the Symposium
  • ISPRS TECHNICAL COMMISSIONS (1996-2000)
  • ISPRS COMMISSION VII SYMPOSIUM SCIENTIFIC PROGRAM COMMITTEE
  • ISPRS COMMISSION VII SYMPOSIUM LOCAL ORGANISING COMMITTEE
  • RAPPORTEURS / ADVISORY BOARD MEMBERS
  • INVITED PATRONS, COOPERATING AN D SUPPORTING ORGANIZATIONS
  • Foreword
  • Table of Contents
  • Working Group 1 FUNDAMENTAL PHYSICS AND MODELING
  • A TEST TO DETERMINE THE GEOMETRIC ACCURACY OF THE DIAL STATION OF THE UNIVERSITY OF CALABRIA G. Artese, V. Achilli, C. Bellecci, A. Vettore
  • A GLOBAL TOPOGRAPHIC NORMALISATION ALGORITHM FOR SATELLITE IMAGES Josef Jansa, [...]
  • DETECTION AND CORRECTION METHOD OF ATTITUDE FLUCTUATION OF SATELLITE AND S/N IMPROVEMENT USING MULTIPLE LINERAR ARRAY CCD Riichi Nagura, Ryouichi Sakaguchi
  • STREO MATCHING ALGORITHM USING NEURAL NETWORK BASED ON HOPFIELD MODEL Riichi Nagura, Nobuyuki Matsui, Teppei Ogiyama
  • APEX - AIRBORNE PRISM EXPERIMENT: AN AIRBORNE IMAGING SPECTROMETER SERVING AS A PRECURSOR INSTRUMENT OF THE FUTURE ESA LAND SURFACE PROCESSES INTERACTIONS MISSION Michael E. Schaepman and Klaus I. Itten
  • THE USE OF HYPERSPECTRAL DATA FOR PRECISION FARMING K. Staenz, J.-C. Deguise, J. M. Chen, H. McNairn, and R. J. Brown [...] T. Szeredi [...] M. McGovern [...]
  • ESTIMATION OF SURFACE REFLECTION PARAMETERS OVER LAND USING LINEAR POLARIZATION DATA BY ADEOS / POLDER Kazuya Takemata and Yoshiyuki Kawata
  • AIRBORNE REMOTE SENSING EXPERIENCES WITH DIRECT PLATFORM ORIENTATION Charles K. Toth
  • Working Group 2 APPLICATION OF REMOTE SENSING AND GIS FOR SUSTAINABLE DEVELOPMENT
  • USING GIS AND REMOTE SENSING IN LAND COVER MONITORING Kiira Aaviksoo, Andrus Meiner
  • REMOTE SENSING APPLICATIONS FOR CHANGE DETECTION IN THE COASTAL REGION OF THE NILE DELTA, EGYPT Abdel Rahman, S. I.; and M. A. Yehia
  • METHOD TO MONITOR AND QUANTIFY THE ENVIRONMENTAL IMPACT OF EUROPEAN AGRICULTURE E. A. Addink
  • MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING OF ECOLOGICAL DAMAGE CAUSED BY OPEN-CAST LIGNITE MINING IN CENTRAL GERMANY Jens Birger, Cornelia Glaesser, Bernd Herrmann and Sabine Tischew
  • Remote Sensing and Urban Statistics: ‚Delimitation of the Urban Agglomeration of Budapest - Test of Delineating Enumeration Districts in the Zugló District (Budapest) Biró, M., Petrik, O., Winkler, P. [...] Faluvégi, A. [...]
  • The use of combined ELECTRE multicriteria methods and raster GIS for the spatial decision support. H. Daoud Brikci, A. Mendas & M. A. Trache
  • THE CONTRIBUTION OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS IN THE PREDICTION OF WATER RISING AND FLOODING FIELD Mohamed CHIKH
  • TOWARDS IMPROVED REMOTE SENSING TECHNIQUES FOR AGRICULTURAL LAND COVER MONITORING IN RUSSIA J. G. P. W. Clevers [...] C. A. Mücher [...] N. M. Vandysheva, S. V. Filonov, G. A. Zhukova [...]
  • STANDARDIZED MONITORING OF REGIONAL SCALE LANDCOVER CHANGE IN SAHELIAN AFRICA - THE REMOTE SENSING AND GIS APPROACH Elmar Csaplovics, Sigrid Hess, [...]
  • REMOTE SENSING BASED CROP MONITORING IN HUNGARY G. Csornai, Cs. Wirnhardt, Zs. Suba, P. Somogyi, G. Nádor,' dr. L. Martinovich, L. Tikász, A. Kocsis., B. Tarcsai, Gy. Zelei
  • APPLICATION OF REMOTE SENSING AND GIS ANALYSES FOR WATER AND SOLUTE TRANSPORT MODELLING Wolfgang-Albert Flügel, Bettina Müschen
  • INTEGRATION OF VARIOUS TYPES OF REMOTE SENSING DATA FOR THE MORAVA RIVER CATCHMENT EVALUATION Lena Halounová
  • MULTITEMPORAL REMOTE SENSING FOR ASSESSMENT OF LAKE BIOPRODUCTION IN RELATION TO INFLUENCING FACTORS Kerstin Munier, Sigrid Roessner, Sabine Thiemann; [...]
  • ACCESSIBILITY OF GEOGRAPHIC INFORMATION IN THE STATE OF NORTH CAROLINA Zsolt Nagy, [...]
  • MONITORING OF LAND USE AND CROP GROWTH CONDITIONS IN EUROPE G. J. A. Nieuwenhuis, C. A. Mücher and A. J. W de Wit
  • AN ENVIRONMENTAL MONITORING SYSTEM FOR THE LUSATIAN BROWN COAL MINING INDUSTRY IN EAST GERMANY M. Pilarski, S. Oppitz
  • REMOTE SENSING AND GIS FOR SUSTAINABLE DEVELOPMENT: AN OVERVIEW D. P. Rao
  • APPLICATION OF PHOTOGRAMMETRY, REMOTE SENSING AND GIS TECHNOLOGY AND EMPLOYMENT OF GeoSET SYSTEM IN BIEBRZA NATIONAL PARK Jerzy C. Saczuk
  • FOREST FIRE MONITORING AND DAMAGE ASSESSMENT IN MEDITERRANEAN LANDSCAPES THROUGH THE INTEGRATION OF REMOTE SENSING AND GIS TECHNIQUES Jesús San Miguel-Ayanz, Alessandro Annoni, Guido Schmuck, Jean Meyer-Roux
  • Estimating erosion rates of tropical shorelines from RADARSAT-1 Vern Singhroy [...] Marx Barbosa [...]
  • ALLOCATION OF SOIL RECLAIMING MATERIAL BASED ON DIGITAL PROCESSING OF AERIAL PHOTOGRAPH T. Tóth, L. Pásztor, M. Kertész, B. Zágoni and Zs. Bakacsi
  • APPLICATION OF REMOTE SENSING DATA FOR THE FLOOD INFORMATION MANAGEMENT OF THE ODER RIVER REGION H. Weichelt, K.-H. Marek, R. Griesbach
  • RURAL LAND USE MONITORING INFORMATION MODELING Zhu Zesheng, Sun Ling, Guan Hengshen
  • Working Group 3 APPLICATION OF HIGH RESOLUTION SATELLITE IMAGERY
  • ENVIRONMENTAL MONITORING IN THE HIGH ARCTIC USING DIFFERENT TYPES OF HIGH-RESOLUTION SATELLITE IMAGERY Gerhard Brandstätter [...] Aleksey Sharov [...]
  • HIGH-RESOLUTION SPACE IMAGERY FOR REGIONAL ENVIRONMENTAL MONITORING - STATUS QUO AND FUTURE TRENDS Elmar Csaplovics, [...]
  • A STUDY OF METROPOLITAN AREAS IN BRAZIL: A MODELLING USING GIS AND REMOTE SENSING TECHNOLOGIES Sandra Maria Fonseca da Costa, Jorge Pimentel Cintra
  • FOREST MAPPING BY MEANS OF DIGITAL LANDSAT-TM DATA Ali A. Darvishsefat
  • Study of Sealed Surfaces and Diurnal Temperature Variations in Urban Environments with Airborne Scanner Data Ramon Franck, Boris Prinz, Rafael Wiemker, Hartwig Spitzer
  • THE METHOD OF GARBAGE REPOSITORY DETECTION AND CONTROL Ivana Javorovic, Toni Kovac, Boris Smiljanic
  • INTEGRATING LANDSAT TM IMAGERIES AND AERIAL PHOTOGRAPHS FOR URBAN BIOTOPES MAPPING Vladimir Kusan & Renata Pernar [...] Ivan Landek [...]
  • FEATURES AND THEMES OVERVIEW OF FEATURE EXTRACTION AND SPECTRAL CLASSIFICATION AND THE IMPACT OF HIGH SPATIAL RESOLUTION SATELLITE IMAGE DATA Lihua Li & Bruce C. Forster
  • THE POTENTIAL USE OF NEW HIGH RESOLUTION SATELLITE DATA FOR URBAN AND REGIONAL PLANNING Gotthard Meinel, Regin Lippold, Maik Netzband
  • A PERSPECTIVE PLAN FOR Ahmedabad Urban Development Authority Area - 2011 Remote Sensing and GIS Based Approach S. K. Pathan, R. J. Bhanderi, A. S. Arya and R. R. Navalgund [...] and N. M. Bhavsar, Pinakin P Desai, K. J. Gajjar, Bipin S Aggarwal and M. M. Bhowmik
  • MONITORING OF ENVIRONMENTAL PARAMETERS IN ALPINE REGIONS BY MEANS OF SATELLITE REMOTE SENSING Mathias Schardt, Heinz Gallaun, Ursula Schmitt, Klaus Granica [...] Thomas Häusler
  • Multi-spectral and Multi-resolution Images for Updating Topographic Data Adele Sindhuber, Josef Jansa
  • RESEARCH ON LAND USE CHANGE OF URUMQI CITY IN RECENT YEARS USING REMOTE SENSING APPROACH Tashpolat Tiyip, Yalkun Tash
  • ACCURACY ASSESSMENT OF VEGETATION MONITORING WITH HIGH SPATIAL RESOLUTION SATELLITE IMAGERY RAFAEL WIEMKER, BORIS PRINZ, GERHARD MEISTER, RAMON FRANCK, HARTWIG SPITZER
  • THE USE OF REMOTE SENSING FOR AGRICULTURAL STATISTICS. Djaffar YOUSFI
  • INVESTIGATION OF DEGRADED GRASSLAND USING REMOTE SENSING TECHNIQUES INJIANSHE TOWNSHIP AREA, GUOLUO PREFECTURE, QINGHAI PROVINCE, CHINA Genong Yu, Huamao Zhou, Liangxiu Zen, Hongju Zhan, Jun Tu, Dingchang Liu, Yafeng Zhong [...] Nicholas Hodgson [...] Dejun Shi [...]
  • Working Group 4 AUTOMATED IMAGE INTERPRETATION AND ANALYSIS
  • IMPROVEMENT OF THE HEIGHT MEASUREMENT ACCURACY FOR THE STEROSCOPIC IMAGES INCLUDING RANDOM NOISE Kazutaka Adachi, Riichi Nagura
  • REMOVING STRUCTURAL CLUTTER FROM LAND-COVER CLASSIFICATIONS OF VERY HIGH SPATIAL RESOLUTION IMAGES USING REFLEXIVE-MAPPING TECHNIQUES Stuart Barr and Mike Barnsley
  • THEMATIC CLASSIFICATION OF LANDSAT TM IMAGERY BY A NEURO FUZZY METHOD Árpád Barsi
  • Mixed pixels problems and multisource classification for snow layer detection Alessandra Colombo
  • MULTISENSOR DATA FUSION FOR AUTOMATIC SCENE INTERPRETATION Bea Csathó [...] Toni Schenk [...]
  • TOPOGRAPHIC NORMALISATION OR APPLICATION OF GEO-SPATIAL RELATIONS FOR IMPROVED LAND COVER CLASSIFICATION IN THE ALORA AREA (SPAIN)? G. F. Epema, W. G. Wielemaker
  • MONITORING HIGH MOUNTAIN SNOWCOVER USING DATA FUSION TECHNIQUES Harold HAEFNER and Jens PIESBERGEN
  • Computer-assisted recognition of Olive trees in digital imagery Simon Kay, Olivier Léo, Steve Peedell, [...] Giovanna Giardino, [...]
  • MULTISCALE IMAGES IN FORESTRY Király, Géza
  • DETECTING AND DESCRIBING LANDSCAPE STRUCTURES IN THE PALATINE NATURE PARK USING REMOTE SENSING Prof. Dr. Barbara Koch, Ulrich v. Werder
  • MULTISPECTRAL CLASSIFICATION OF LANDSAT TM IMAGES BY NEURAL NETWORKS Ivica Marcic [...] Vladimir Kusan [...]
  • ASSESMENT OF THEMATIC MAPPER IMAGERY FOR DESERTIFICATION IN THE PUNA REGION (ARGENTINA) Ing. Stella Maris Navone Ms.Sc
  • POTENCIALITIES OF USING TEXTURE MEASURES FOR MAPPING LAND USE DYNAMICS BASED ON RADAR IMAGERY Milton Cezar Ribeiro, Diogenes Salas Alves, Joào Vianei Soares, Corina C. F. Yanasse, Fernando Mitsuo li
  • Working Group 5 GLOBAL MONITORING
  • LAND COVER CHANGE DETECTION BY POST-CLASSIFYING FOR MULTI-TEMPORAL LANDSAT TM DATA CHEN Xiuwan [...] Shintaro GOTO [...] Chung-Hyun AHN [...]
  • GLOBAL 1 KM INVENTORY OF HUMAN SETTLEMENTS DERIVED FROM DMSP-OLS DATA Christopher Elvidge [...] Kimberly E. Baugh [...]
  • A MULTI-SENSOR ASSESSMENT OF URBAN HEAT-ISLANDS: A CASE STUDY Kevin P. Gallo, [...] Timothy W. Owen, [...] Kimberly E. Baugh, [...] Christopher D. Elvidge, [...]
  • Analysis of Human Impact on Global Environmental Change through LUC from the View Point of Food Productivity and CO2 Emission by Assimilating GIS and Socio-econimical Data to System Dynamics Model Shintaro Goto, Toshikazu Sakai and Makoto Nakano
  • NEARSHORE ENVIRONMENTAL MANAGEMENT USING WEB- GIS FOR THE NAKHODKA OIL-SPILL DISASTER IN 1997 Shintaro Goto, Hayato Oyama and Masaaki Shikada
  • ASSIMILATION OF AVHRR, GROUND WAVE RADAR AND RADARSAT SAR DATA INTO A COASTAL CIRCULATION AND OIL SPILL MODELLING SYSTEM Donald O. Hodgins
  • THE USE OF GAIN CONTROLLED DMSP/OLS DATA TO MAP URBAN/SUBURBAN AND INDUSTRIAL LAND CONVERSION IN THE UNITED STATES Imhoff, M. L. - [...] W. Lawrence and D. Stutzer - [...] G. Petersen, and E. Nizeyimana - [...] and C. Elvidge, [...]
  • THE USE OF REMOTE SENSING FOR THE GLOBAL MONITORING OF THE HUMAN ENTERPRISE: THE CIESIN EXPERIENCE Gary E. Johnson, Ph.D.
  • THE IDENTIFICATION OF YELLOW SAND DUST ON SATELLITE-LEVEL DATA OVER EAST ASIA USING LONG-RANGE TRANSPORT MODELS AND POLARIZATION MEASUREMENTS T. Kusaka, T. Ema and N. Murata
  • POPULATION GROWTH AND LAND COVER CHANGE IN EGYPT: EVALUATING THE UTILITY OF ARCHIVAL AND RECENT DMSP/OLS DATA SETS FOR URBANIZATION STUDIES Lawrence, William T., [...] Marc L. Imhoff, [...] David Stutzer, [...] and Norman Kerle, [...]
  • Land use change from the point of supply and demand structure for food in Asia Kanichiro Matsumura and Yasuto Nakamura
  • DMSP/OLS IMAGERY TO ESTIMATE POPULATION Mikiyasu Nakayama
  • AN ASSESSMENT OF SOIL PRODUCTIVITY LOSS DUE TO URBANIZATION IN PENNSYLVANIA, U.S. Egide Nizcyimana and G. W. Petersen [...] M. L. Imhoff, [...] W. T. Lawrence, [...]
  • A STUDY ON EVALUATION OF WORLD AGRICULTURAL PRODUCTIVITY USING SATELLITE DATA AND GIS Shiro OCHI, Ryosuke SHIBASAKI, Atsushi HIRAKOBA
  • A GIS-BASED INTEGRATED LAND USE/COVER CHANGE MODEL FOR THAILAND K S Rajan and Ryosuke Shibasaki
  • NASA'S LANDSAT PATHFINDER HUMID TROPICAL FOREST PROJECT William Salas [...] Dave Skole and Walter Chomentowski [...] John Townshend and Vivre Bell [...] Chris Justice [...] and C. J. Tucker [...]
  • Global Mapping Project - Technical Challenges and Perspectives in the Future - Tsuneo Tanaka, Kosei Otoi, Hiroshi Masaharu, Hiromichi Maruyama, Yoshikazu Fukushima
  • GLOBAL/CONTINENTAL LAND COVER MONITORING Ryutaro Tateishi, Masayuki Matsuoka, Wen Cheng-gang, and Park Jong-geol
  • USING REMOTE SENSING AND SOILS TO ESTIMATE THE IMPACT OF URBANIZATION ON SOIL RESOURCES IN CHINA E. D. Warner, G. W. Petersen and Egide Nizeyimana [...] Xuezhung Shi, [...] M. L. Imhoff, [...] W. T. Lawrence, [...]
  • Working Group 6 RADAR APPLICATIONS
  • ARTOGRAPHY AND REMOTE SENSING IN THE AMAZON THE SIVAM PROJECT ELIANE ALVES DA SILVA - [...]
  • AIRBORNE SAR ROUTE WITH MINIMUM LOSS BY THE SHADOWS IN THE MOUNTAINOUS TERRAIN M. Bajic, S. C. Bajic
  • CLASSIFICATION AND SEGMENTATION FOR RADAR IMAGERY USING GAUSSIAN MAKOV RANDOM MODEL Yunhan Dong, Bruce Forster and Anthony Milne
  • ANALYSIS OF THE BACKSCATTERING SIGNALS OF JERS-1 IMAGE FROM SAVANNA AND TROPICAL RAINFOREST BIOMASS IN BRAZILIAN AMAZONIA. Joao Roberto dos Santos, Maristela Ramalho Xaud, Maria Silvia Pardi Lacruz
  • DYNAMICS OF RADARSAT BACKSCATTERING VALUES RELATED TO PRIMARY AND SECONDARY FOREST BIOMASS STRUCTURE IN SW AMAZONIA, BRAZIL. Joao Roberto dos Santos, Hermann Johann Heinrich Kux, Maria Silvia Pardi Lacruz, Frank J. Ahern, Ron W. Pietsch
  • AUTOMATED PIPELINE EXTRACTION FROM INTERFEROMETRIC SAR DATA OF THE ERS TANDEM MISSION Olaf Hellwich, Ivan Laptev and Helmut Mayer
  • OPERATORS USED IN THE COMPUTATION OF COHERENCE MAPS FOR THEMATIC INFORMATION EXTRACTION. Gerrit Huurneman
  • ANALYSIS OF SATELLITE RADAR FOR THE DETECTION AND MAPPING OF INUNDATION PATTERNS IN WETLAND AREAS A. K. Milne
  • EXPERIMENTS WITH MULTI-FREQUENCY AND MULTI-POLARIZATION SAR DATA FOR HYDROLOGICAL PARAMETER MODELLING Tania Neusch, Manfred Sties
  • APPLICABILITY OF ERS-1 AND ERS-2 INSAR FOR LAND SUBSIDENCE MONITORING IN THE SILESIAN COAL MINING REGION, POLAND. Zbigniew Perski
  • The Use of Multitemporal Radar Data in Agriculture Monitoring: A Case Study in Köycegiz-Dalaman Ecosystem, Turkey F. Sunar, M. Taberner, D. Maktav, S. Kaya, N. Musaoglu and E. Yagız
  • LAND-USE CLASSIFICATION USING MULTITEMPORAL RADARSAT, ERS-1 AND JERS SAR-IMAGES Markus Törmä, Jarkko Koskinen
  • ERS SCATTEROMETER DERIVED SOIL MOISTURE MAPS OF THREE CLIMATIC ZONES Wolfgang Wagner [...]
  • Working Group 7 NON-RENEWABLE RESOURCES AND GEOTECHNICAL APPLICATIONS
  • REMOTE SENSING AND EARTHQUAKE ACTIVITY IN WESTERN BOHEMIA (CENTRAL EUROPE) P. Bankwitz, E. Bankwitz, [...] H. Kämpf, H.-U. Wetzel, A. Frischbutter, [...]
  • Monitoring of Landslide Using Photogrammetry and Remote Sensing Lena Halounova, Karel Pavelka
  • THE DISCOVERY OF CHUANLI RING (BRUSH) STRUCTURE AND STUDYING FOR THE INTERPRETATIVE FEATURES OF IMAGING RADAR IMAGE Shi Jizhong
  • INTEGRATION OF GIS AND REMOTE SENSING IN THE FIELD OF GEOLOGY AS AN INTERDISCIPLINARY APPROACH - THE ROLE OF GEO-SPATIAL CLEARINGHOUSE SERVICES by Péter Kardeván, [...] Károly Brezsnyánszky, [...] and László Róth, [...]
  • REMOTE SENSING AND GEOLOGY OF HOGGAR: CONTRIBUTION OF LANDSAT T.M. IMAGES TO THE GEOLOGICAL CARTOGRAPHY AT THE 1/500.000 SCALE AND THE SPECTRAL CHARACTERISATION OF THE ALTERATION PROFILE WITH URANIUM MINERALISATION Ahmed Zine Eddine SAAD
  • An Application of GIS Information and Remotely Sensed Data for Valley Areas Masaaki SHIKADA, Junko YAMASHITA, Shintaro GOTO, Masaru SYOUDA and Tokio IWATA
  • INTERPRETATION OF SATELLITE DATA RELATED TO NEOTECTONIC ACTIVITIES CONNECTED WITH EARTHQUAKES IN WESTERN MONGOLIA Dr. TSEHAIE WOLDAI [...] Mr. A. BAYASGALAN [...]
  • SPECIAL SESSION
  • CARTOGRAPHIC RELIEF REPRESENTATIONS WITH DEM FILTERING TECHNIQUES Manfred F. Buchroithner [...] Rolf Böhm [...]
  • THE EUROPEAN CORINE LAND COVER DATABASE G. Büttner, [...] C. Steenmans, [...] M. Bossard, [...] J. Feranec, [...] J. Kolár, [...]
  • REMOTE SENSING TOOLS FOR FOREST FIRE PREVENTION AND ASSESSMENT Emilio Chuvieco, Javier Salas and David Riano
  • EARSeL-Special Interest Group Atmosphere: Application of Satellite Data in Meteorology and Climate Research Eberhard Parlow
  • A EUROPEAN PROPOSAL FOR TERMS OF REFERENCE IN DATA FUSION L. Wald
  • INTERACTIVE POSTER SESSION
  • CLASSIFICATION EFFICIENCY OF HIGH SPATIAL RESOLUTION SATELLITE IMAGERY IN THE STUDIES OF VEGETATION, FORESTRY AND HUMAN SETTLEMENTS M. Bajic, [...]
  • SNOW HYDROLOGY USING MULTI-CHANNEL, MULTI POLARIZED, MULTI-TEMPORAL SYNTHETIC APERTURE RADAR Bajzák, Dénes. [...] Roberts, Bruce A. [...] Deering, Keith W., [...]
  • MEDICO-ECOLOGICAL ASPECTS OF DESERTIFICATION IN KALMYKIA Bananova V., Sangadguieva L., Nidjuli V., Borlikov G., Lasareva V., [...]
  • INVENTORY AND THE FLORA CARTOGRAPHY METHODOLOGY USING THE COMBINATION OF REMOTE SENSING AND GIS. CASE OF THE AIN RICH REGION (ALGERIA). F. BENHAMOUDA, M. CHOUIEB, M. CHIKH & A. LATTOUI
  • Forest change detection in a montaineous terrain using multitemporal Landsat TM images introducing a relative atmospheric correction. A case study: Forest of M'sila (Oran-Algeria-). Khatir Benhanifia & Mustapha Bouziane
  • TREATMENT AND INTEGRATION OF THE SATELLITE AND MULTISOURCE DATA INTO A DATA BASE CHARACTERISING THE NATURAL ENVIRONMENT. A CASE STUDY: THE ALGERIAN STEPPIC ZONE a. Bensaid , z. Smahi & m. bouziane
  • LAND COVER CHANGE DETECTION USING THE CORINE METHODOLOGY G. Büttner, G. Maucha and M. Biró
  • EVALUATION OF THE DYNAMIC OF URBAN MORPHOLOGICAL ZONES USING REMOTELY SENSED DATA M. Caetano and A. Navarro
  • Optical-Radar Data Fusion for Land Use Classification Michele Crosetto, Marek Mróz
  • THE ESTIMATION OF ECOLOGICAL CONDITION OF NATURAL WATER SYSTEMS WITH USE OF SYSTEM APPROACH A. D. Fedorovsky, K. Yu. Suhanov and V. G. Yakimchuk, [...]
  • LOCAL ENVIRONMENTAL MONITORING USING A LANDSCAPE MODELLING APPROACH Robert P. Gauthier
  • DROUGHT MONITORING IN SPAIN USING NOAA-AVHRR MULTITEMPORAL IMAGES F. González Alonso, A. Calle, J. L. Casanova, J. M. Cuevas, A. Vázquez
  • AN ANALYSIS ON TOPOGRAPHICAL FACTORS AND DETERIORATION OF BEECH TREES AT MT. HINOKIBORAMARU, TANZAWA, USING GIS Yujiro HIRANO and Ryosuke SHIBASAKI
  • DETECTION OF FOREST DECLINE IN RUSSIAN FAR EASTERN Norihisa Kamibayashi
  • MEANING OF GEOGRHAFIC INFORMATION SYSTEMS UNDER ENVIRONMENTAL MONITORING OF REGIONS WITH COMPLIETED ECOLOGICAL SITUATION Dr. Alexander A. Kirsanov, [...]
  • MONITORING OF CHERNOBYL DISASTER AREA USING MULTITEMPORAL SATELLITE DATA Lyalko V. I. Sakhatsky A. I., Hodorovsky A. J., Shportjuk Z. M., Sibirtseva O. N. [...] Marek K.-H., Oppitz S. [...]
  • VIRGOS SYSTEM - APPLICATION FOR DEVELOPMENT OF URBAN AREAS STUDY Eng. Calin-Daniel NITU [...] Prof. dr. eng. Florea ZAVOIANU [...]
  • ECO BP'98 INTERNATIONAL SYMPOSIUM ON RESOURCE AND ENVIRONMENTAL MONITORING LOCAL, REGIONAL, GLOBAL. BUDAPEST, 1-4 SEPTEMBER 1998 AERO-SATELLITE REMOTE-SENSING FOR RESOURCE AND ENVIRONMENTAL MONITORING IN DANUBE DELTA AND COASTAL ZONE OF BLACK SEA IN ORDER TO INCLUDING US IN INTERNATIONAL PROGRAMS FOR DANUBE BASIN AND BLACK SEA. Nicolaie OPRESCU, Manuel VAIS, Joan SOMARDOLEA
  • DETERMINATION OF CLOUD TOP HEIGHT USING METEOROLOGICAL SATELLITE AND RADAR DATA R. Randriamampianina, J. Nagy, Gy. Gyarmati and J. Kerényi
  • INTEGRATION OF THE SOCIO-ECONOMIQUES AND PHYSICALS DATA ON GIS FOR PASTORAL ACTIVITIES MANAGEMENT ON A SEMI ARID AREA, z. smahi & a. bensaid
  • DETERMINATION OF CHANGES IN PHENOLOGICAL CYCLE OF OAK-WOOD BY MULTISPECTRAL NOAA/AVHRR IMAGES Mladen Viher, [...] M. Sc. Visnja Vucetic, [...]
  • APPLICATIONS OF REMOTE SENSING AND GIS FOR WATER RESOURCE DEVELOPMENT AT TANFA LAKE Mu-Lin Wu, Professor [...] Yih-Ping Chen, Associate Chief Engineer [...] Pei-Ming Liao, Division Chief [...] Wen-Cheng Tseng, Associate Engineer [...]
  • REMOTE SENSING AND DIGITAL PHOTOGRAMMETRIC DATA INTEGRATION INTO A GIS 3-D FOR MONITORING AND ANALYSIS OF AN URBAN AREA UNDER NATURAL DISASTER STRESS: Florea Zavoianu - [...]
  • RÉALISATION OF THE DESERTIFICATION SENSIVITY MAP WITH THE AIDE OFA GEOGRAPHICAL INFORMATION SYSTEM ZEGRAR. A; SMAHI. Z; BENSAID. A.
  • APPROACH TO POLICY HIERARCHIES FOR ENVIRONMENTAL DISASTERS MANAGEMENT Zhu Zesheng, Sun Ling, Guan Hengshen
  • STATUS OF FLOOD MONITORING WITH MULTISENSOR REMOTE SENSING A. Zilahy, S. Herath, K. Musiake
  • LATE PAPERS
  • METHODS TO ELIMINATE THE ATMOSPHERIC EFFECTS IN REMOTELY SENSED DATA J. Lichtenberger, Cs. Ferencz, D. Hamar, P. Bognár, E. O. Ferencz, G. Molnár, Sz. Pásztor, P. Steinbach, B. Székely, Gy. Tarcsait, G. Timár
  • YIELD FORECASTING OF MAIN CROPS USING REMOTE SENSING DATA Cs. Ferencz, D. Hamar, J. Lichtenberger, P. Bognár, I. Ferencz-Árkos, G. Molnár, Sz. Pásztor, P. Steinbach, B. Székely, Gy. Tarcsait, G. Timár
  • CHANGES OF THE FOREST IN WESTERN SUDETY MOUNTAINS IN POLAND IN 1976-1990 PERIOD DETECTED ON LANDSAT MSS AND TM IMAGES Zbigniew Bochenek, Andrzej Ciolkosz, Maria Iracka
  • APPENDIX
  • Appendix: Authors and Co-authors Index Volume XXXII, Part 7 - ISPRS Commission VII
  • Appendix: Keywords Index Volume XXXII, Part 7 - ISPRS Commission VII
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MULTISENSOR DATA FUSION FOR AUTOMATIC SCENE INTERPRETATION 
Bea Csathó 
Byrd Polar Research Center 
The Ohio State University 
1090 Carmack Rd. 
Columbus, OH 43210 
csatho.1©osu.edu 
Toni Schenk 
Department of Civil Engineering 
The Ohio State University 
2070 Neil Ave., 
Columbus, OH 43210 
schenk.2Qosu.edu 
KEY WORDS: Object Recognition, Data Fusion, Multisensor/Multispectral Fusion 
ABSTRACT 
The ultimate goal of digital photogrammetry is to make maps automatically. This entails understanding aerial imagery and 
recognizing objects—both hard problems. Despite of the increased research activities and the remarkable progress that has 
been achieved, we are still far from operational systems and for many, the goal remains a dream. The utilization of multiple 
sensory input data opens new avenues to approach the problem. By combining sensors that use different physical principles 
and record different properties of the object space, complementary and redundant information becomes available. If merged 
properly, multisensor data may lead to a more stable and consistent scene description. In this paper we address issues related - 
to the question on how to merge multisensor data and how to combine different processes, such as classification and fusion 
approaches in remote sensing with processes from object recognition. To illustrate the potential of multisensor integration 
for urban mapping we describe experiments obtained from a data set comprising aerial imagery, multispectral scanner, and 
scanning laser altimetry. 
1 Introduction 
The ultimate goal of digital photogrammetry is to generate 
maps automatically. Map compilation is a very labor intensive 
process. It may take several hours per model. Thus, there 
is a great economical incentive to automate the map com- 
pilation process. A more esoteric reason for the increasing 
research activities in identifying and localizing objects from 
aerial imagery is the scientific challenge the problem poses. 
The two tasks are known as object recognition—a term we 
use in this paper instead of automatic map compilation. 
Before an object, say a building, can be measured it must first 
be identified as such. This involves understanding an image, 
at least to a certain extent and this is precisely what makes 
object recognition a hard problem. Humans are remarkably 
adept at object recognition. How the human visual system 
solves the problem is not known well enough to mimic the so- 
lution by computers. Instead of trying to unravel the image 
understanding abilities of humans, many researchers attempt 
to improve the current status of recognizing objects from 
aerial scenes by increasing the sensory input sources. For ex- 
ample, laser altimeter data are used to generate DEMs; color 
imagery is preferred to take advantage of color information. 
Expanding this idea leads to the inclusion of multispectral 
or even hyperspectral sensor data into the object recogni- 
tion process. This trend is facilitated by the fact that the 
spatial, spectral and temporal resolution of different airborne 
and spaceborne sensors rapidly increases while the cost asso- 
ciated with data collection decreases. 
Now, the cardinal question is how to exploit the potential 
these different data sources offer to tackle the object recog- 
nition more effectively. This is precisely the main item on the 
research agenda of Working Group 5 of ISPRS Commission 
I. Ideally, proven concepts and methods in remote sensing, 
digital photogrammetry, and computer vision should be com- 
bined in a synergistic fashion. We argue that such attempts 
should first be launched on a conceptual level before specific 
algorithms are devised, modified or merged. The purpose 
of this paper is to stimulate discussions that hopefully will 
broaden our understanding of object recognition with multi- 
sensor and multispectral data sources. 
Since we have the conceptual level in mind we start out with a 
brief description of the object recognition paradigm, followed 
by a summary of state-of-the-art data fusion in remote sens- 
ing. We then present some examples that illustrate the po- 
tential of using information from multisensor sources for the 
purpose of interpreting aerial scenes automatically. A data 
set of an urban area is processed by remote sensing tech- 
niques. We conclude by identifying major issues that need to 
be addressed by future research. 
2 Object Recognition Paradigm 
At the heart of the paradigm is the recognition that it is 
impossible to bridge the gap between sensory input data and 
the desired output in one step. Consider a gray level image 
as input and a GIS as the result of object recognition. The 
computer does not see an object, say a building. All it has 
available at the outset is an array of numbers. On the output 
side, however, we have an abstract description of the object, 
for example, the coordinates of its boundary. There is no 
direct mapping between the two sets of numbers. 
A commonly used paradigm begins with preprocessing the raw 
sensory input data, followed by feature extraction and seg- 
mentation. Features and regions are perceptually organized 
until an object emerges from the data. This data model is 
then compared with a model of the physical object. If there 
is sufficient agreement, the data model is labeled accordingly. 
In a first step, the sensor data usually require some prepro- 
cessing. For example, images may be radiometrically ad- 
justed, oriented and perhaps normalized. Raw laser altimeter 
data are processed to 3-D points in object space. 
The motivation for feature extraction is to capture informa- 
tion from the processed sensory data that is somehow related 
336 Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
  
  
  
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