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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:
MULTISPECTRAL CLASSIFICATION OF LANDSAT TM IMAGES BY NEURAL NETWORKS Ivica Marcic [...] Vladimir Kusan [...]
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
  • [Colour plates]
  • Cover

Full text

100d 
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] as 
  
time was 60 seconds, while the classification time was 320 
seconds. 
A standard back-propagation neural network used in our 
researchs was composed of an input layer, one hidden layer and 
an output layer. The input layer consisted of six processing 
elements, one for each of the Thematic Mapper nonthermal 
channels. The output layer consisted of fifteen processing 
elements, corresponding to fifteen land-cover classes. The input 
image pixel data was linearly scaled to a value between 0.0 and 
1.0 for input to the neural network.. At the moment when the 
neural network was first created; the weights for the interunit 
connections were initialized to random values in the range of -0.5 
to +0.5. An output of 0.9 (the processing element with the 
highest activation) represented the correct class, and an output of 
0.1 represented all other classes. In all the experiments the initial 
learning rate and momentum were 0.1 and 0.9, respectively. The 
learning and momentum rates affects how quickly the neural 
network stabilizes. High learning rate (0.9) would converge 
quickly, but may exit prematurely. On the contrary, low learning 
rate (0.1) would take more iterations to train, without a danger of 
prematurely exit. Usage of a momentum term helps in reducing 
oscillation between iterations, and allows a higher learning rate 
to be specified without the risk of non-convergence In our 
experiments we tested networks with from 2 to 31 processing 
elements in a hidden layer. Percentages of correctly classified 
pixels for all these networks are shown in the Table 5. The 
values are obtained after 500 iterations. The obtained results are 
very similar to the networks with a number of processing 
elements between 7 and 31 for the training set of data. The same 
holds for the networks with a number of processing elements in 
a hidden layer between 11 and 31 for the testing data This 
indicates an increase of neural network classifier performance for 
large number of processing elements in a hidden layer. 
We used 19 processing elements in the hidden layer. The 
leaming rate and momentum rate were both 0.01. The 
normalized total error (Figure 3.) shows that the neural network 
converges and stabilizes by the 10000th training iteration. The 
average accuracy and the overall accuracy of the train pixels for 
the back-propagation algorithm were 98.29% and 98.24% 
respectively. The average accuracy and the overall accuracy of 
the test pixels for the back-propagation algorithm were 97.04% 
and 96.93% respectively. Comparing these results to those 
obtained by the network of the same architecture with a 500 
iterations, we can not see an important increase of network 
performance. As a consequence there is a significant reduction 
of the training time for the network with a less number of 
Table 4. Confusion matrix of the test side results for maximum likelihood classifier. 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Areas Percent Pixels Classified by Code 
Code Name Pixels 0 10 20 30 40 50 60 76 
10 New Forest 230 17 94.3 2.6 0.0 0.0 0.0 0.0 0.0 
20 Forest 235 17 17 94.5 0.0 0.0 0.0 0.0 0.0 
30 Wet siol 293 3.1 0.0 0.0 92.5 0.0 0.0 0.0 0.0 
40 Arid soil 344 4.9 0.0 0.0 0.0 86.9 0.0 0.0 0.0 
50 Maize-I 243 3,8 0.0 0.0 0.0 0.0 93.8 0.0 0.0 
60 Maize-II 241 8.7 0.0 0.0 0.0 0.0 0.0 91.3 0.0 
70 Dry vegetat. 156 6.4 0.0 0.0 0.0 0.0 0.0 0.0 93.6 
80 Stubble-field 227 $3 0.0 0.0 0.0 0.0 0.0 00 [ 00 
90 Indiv. parcels 255 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
100 Barley I 297 9.4 0.0 0.0 0.0 2.4 0.0 0.0 0.0 
110 Barley I 275 73 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
120 Oil rape I 213 1.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
130 Oil rape I 210 3.8 0.5 2.9 0.0 0.0 0.0 0.0 0.0 
140 Wet vegetat. 260 9.6 0.0 0.0 0.0 0.0 0.8 0.0 0.0 
150 Sunflower 164 5.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
Code Name Pixels 80 90 100 110 120 130 140 150 
10 New Forest 230 0.0 0.0 0.0 0.0 0.0 13 0.0 0.0 
20 Forest 235 0.0 0.0 0.0 0.0 0.0 2.1 0.0 0.0 
30 Wet siol 293 0.0 0.0 0.3 0.0 4.1 0.0 0.0 0.0 
40 Arid soil 344 0.0 0.0 7.8 0.0 0.3 0.0 0.0 0.0 
50 Maize-I 243 0.0 0.0 0.0 0.0 0.0 0.0 0.4 0.0 
60 Maize-II 241 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
70 Dry vegetat. 156 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
80 Stubble-field 227 92.5 0.0 1.3 0.0 0.0 0.9 0.0 0.0 
90 Indiv. parcels 255 0.0 93.7 0.0 0.4 3.9 0.0 0.0 0.0 
100 Barley I 297 0.0 0.0 88.2 0.0 0.0 0.0 0.0 0.0 
110 Barley II 275 0.0 0.4 0.0 92.4 0.0 0.0 0.0 0.0 
120 Oil rape I 213 0.0 3.3 0.0 0.0 95.3 0.0 0.0 0.0 
130 Oil rape II 210 1.4 0.0 0.0 0.0 0.0 91.4 0.0 0.0 
140 Wet vegetat. 260 0.0 0.0 0.0 0.0 0.0 0.0 89.2 0.4 
150 Sunflower 164 0.0 0.0 0.0 0.0 0.0 0.0 0.0 94.5 
  
  
  
  
  
  
  
  
  
  
  
  
  
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
379 
 
	        

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