Significance Analysis of multi-temporal RapidEye satellite images in a land-cover classification

Accuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences

Volumn , Issue , 2010, Pages 273-276

  Förster, Michael ^a   Schuster, Christian ^a   Kleinschmit, Birgit ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Microarray Significance Analysis; Object based image analysis; RapidEye

Indexed keywords

CLASSIFICATION (OF INFORMATION); ENVIRONMENTAL ENGINEERING; IMAGE PROCESSING; NATURAL RESOURCES; SATELLITE IMAGERY; SATELLITES;

CLASSIFICATION ACCURACY; CLASSIFICATION PROCESS; HIGH SPATIAL RESOLUTION; LAND COVER CLASSIFICATION; NEAREST NEIGHBOR CLASSIFICATION; OBJECT BASED IMAGE ANALYSIS; RAPIDEYE; SIGNIFICANCE ANALYSIS;

IMAGE ANALYSIS;

EID: 84975678151     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Baatz, M. and Schäpe, A. (2000). Multiresolution Segmentation: an optimization approach for high quality multi-scale image segmentation. In J. Strobl, T. Blaschke and 0. Griesebner (eds.) Angewandte Geoinformatik - AGIT (pp. 12-23). Salzburg: Wichmann.
2. Baltsavias, E.P. (2004). Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems. ISPRS Journal of Photogrammetry and Remote Sensing, 58, 129-151.
3. Benediktsson, J.A., Chanussot, J. and Fauvel, M. (2007). Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments. In Haindl, M., Kittler, J. and Roli, F. (eds.) Multiple Classifier Systems. Berlin: Springer.