DocumentCode :
339318
Title :
Classification of JERS-1 image mosaic of Central Africa using a supervised multiscale classifier of texture features
Author :
Saatchi, Sassan ; De Grandi, Franco ; Simard, Marc ; Podest, Erika
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
5
fYear :
1999
fDate :
1999
Firstpage :
2765
Abstract :
A multiscale approach is introduced to classify the JERS-1 mosaic image over the Central African rainforest. A series of texture maps are generated from the 100 m mosaic image at various scales. Using a quadtree model and relating classes at each scale by a Markovian relationship, the multiscale images are classified from course to finer scale. The results are verified at various scales and the evolution of classification is monitored by calculating the error at each stage
Keywords :
feature extraction; forestry; geophysical signal processing; geophysical techniques; image classification; image texture; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; Africa; JERS-1; Markovian relationship; SAR; feature extraction; forest; image classification; image mosaic; image texture; quadtree model; radar remote sensing; rainforest; supervised multiscale classifier; synthetic aperture radar; Africa; Azimuth; Image resolution; Large-scale systems; Maximum likelihood estimation; Monitoring; Rain; Remote sensing; Rivers; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
Type :
conf
DOI :
10.1109/IGARSS.1999.771644
Filename :
771644
Link To Document :
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