eCognition 2004 User Meetings

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What's new in eCognition 4.0 Gregor Willhauck, Definiens Imaging (1.1 MB)

Biogeographical knowledge for vegetation mapping with eCognition Laurent Durieux, IRD, France (8.0 MB)

Forest and Tree Crown Mapping from aerial photographs using eCognition Lena Halounová, Czech Technical University Prague, Czech Republic (0.6 MB)

Object oriented analysis of spatial-structural dynamics Roeland de Kok, GAF AG, Germany (4.9 MB)

Transferability of Knowledge-Based Classification Rules Kristin Leukert, University of Bundeswehr, Germany (5.2 MB)

Forest biophysical parameter retrieval from SAR data with the aid of object oriented image analysis techniques Josef M. Kellndorfer, University of Michigan, USA (7.1 MB)

Supporting nature conservation by using eCognition on VHR Earth Observation data Ellen Sell, University Trier, Germany (8.0 MB)

The strength and weaknesses of eCognition for operational use in the South African National Land Cover 2000 project Wolfgang Lück, University of Stellenbosch, South Africa (5.3 MB)

Current eCognition Projects at RADARSAT International Bert Tatham, Radarsat International, Canada (7.1 MB)

Classification of clouds based on structure and context analyses Christian Koch, Forschungszentrum Karlsruhe, Germany (3.6 MB)

User Performance Evaluation of the eCognition System John Irvine, SAIC, USA; Dave Burnett, General Dynamics, USA (1.1 MB)

User Performance Evaluation of the eCognition System John Irvine, SAIC, USA (444.7 KB)

A Segmentation Approach to Oil Spill Detection and Classification Shattri Mansor, Wong, T.H., Assilzadeh, H., Asmat, A. and Akmalhisham, J., University Putra Malaysia, Malaysia (0.6 MB)

Object oriented change detection: towards automatic updating of CORINE Land Cover in Portugal Filipa Machado, Lisbon New University, Portugal (4.5 MB)

Pixel based and object oriented image analysis for urban heat island study Arnis Asmat, Mansor, S.B. and Wong, T.H., Universiti Teknologi Mara Malaysia (0.9 MB)

Delineation of individual trees with eCognition 3.0 using Lidar and multispectral imagery Charles Burnett, Dirk Tiede, Marco Heurich, Germany (0.9 MB)

Object based crop unit extraction with eCognition using arial photographs Benedikt Peter & Martin Stoecker, University of Muenster, Germany (587.8 KB)

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