DocumentCode :
2118355
Title :
Spectral and spatial parameterization of multi-date satellite images for change detection of linear features
Author :
Avraham, Gal ; Shoshany, Maxim ; Netanyahu, Nathan S.
Author_Institution :
Environ. Inf. Lab., Bar-Ilan Univ., Ramat Gan, Israel
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
1848
Abstract :
A new technique utilizing combination of feature extraction by change vector analysis and analysis of distances between features allows improvement in change detection of linear features such as roads and water channels. The technique reduces false detection of changes due to image calibration differences, illumination differences and misregistration. The method was applied to areas of steep climatic gradient between Mediterranean and extreme desert regions.
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; image sequences; multidimensional signal processing; remote sensing; terrain mapping; change detection; change vector analysis; false detection; feature extraction; geophysical measurement technique; image sequence; land surface; linear features; multi-date satellite images; remote sensing; road; satellite imaging; spatial parameterization; spectral parameterization; terrain mapping; water channel; Calibration; Computer vision; Convolution; Image analysis; Information analysis; Pixel; Remote sensing; Roads; Satellites; Vectors;
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.2002.1026275
Filename :
1026275
Link To Document :
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