Automatic extraction of rivers in tropical rain forests from JERS-1 SAR images using spectral and spatial information

Author

Sakurai-Amano, Takako ; Onuki, Shogo ; Takagi, Mikio

Author_Institution

Dept. of Appl. Electron., Sci. Univ. of Tokyo, Chiba, Japan

Volume

6

fYear

2002

fDate

2002

Firstpage

3429

Abstract

A fully automated method of extracting narrow rivers in tropical rain forests from JERS-1 SAR images was implemented using both spectral and spatial information. The system was divided into extraction of narrow rivers that appear as a series of line-like blobs and extraction of wide rivers that appear as dark continuous line-like features. The method was assessed by comparing the results from optical JERS-1 VNIR data and by applying 21 scenes in other areas in Amazon basin and Congo basin.

Keywords

feature extraction; forestry; geophysical signal processing; geophysical techniques; hydrological techniques; radar imaging; remote sensing by radar; rivers; spaceborne radar; synthetic aperture radar; terrain mapping; vegetation mapping; Africa; Amazon basin; Congo basin; JERS-1; SAR; South America; feature extraction; geophysical measurement technique; hydrology; land surface; line-like blobs; narrow rivers; radar imaging; radar remote sensing; rain forest; river; spaceborne radar; spatial data; spectral data; synthetic aperture radar; terrain mapping; tropical forest; vegetation mapping; Backscatter; Data mining; Flowcharts; L-band; Lakes; Layout; Morphological operations; Optical sensors; Rain; Rivers;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1027205

Filename

1027205