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