Paper Info
Title
Automatic extraction of rivers in tropical rain forests from JERS-1 SAR images using spectral and spatial information
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.
Year
DOI
Venue
2002
10.1109/IGARSS.2002.1027205
IGARSS
Keywords
Field
DocType
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,geophysical measurement technique,hydrology,land surface,line-like blobs,narrow rivers,radar remote sensing,rain forest,river,spatial data,spectral data,tropical forest,backscatter,flowcharts,spatial information,layout,data mining,l band
Spatial analysis,VNIR,Radar imaging,Computer science,Synthetic aperture radar,Remote sensing,Amazon basin,Feature extraction,Structural basin,Rainforest
Conference
Volume
ISBN
Citations 
6
0-7803-7536-X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Sakurai-Amano, T.131.11
Onuki, S.200.34
Mikio Takagi3221198.87