DocumentCode :
2166829
Title :
Bare land extraction method of rain-induced shallow landslides based on SPOT5 images
Author :
Yang, Shuwen ; Li, Yikun ; Feng, Guangsheng ; Liu, Tao ; Zhang, Zhihua ; Zhang, Lifeng
Author_Institution :
Fac. of Geomatics & Geographic Inf., Lanzhou Jiaotong Univ., Lanzhou, China
fYear :
2012
fDate :
19-21 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
For the image characteristics of more serious damage to vegetation, geological characteristics and mechanism of remote sensing, the paper put forward some remote sensing indices based on background value of remote sensing images, such as vegetation index, soil brightness index, PC1 of principal components transformation and terrain data, which could reflect background information of landslides and collapses. Meanwhile, integrated calculation method of remote sensing index was proposed, which could effectively increase spectral differences of bare land with vegetation, terrain shadows, rivers and other surface features. Gray value of bare land was the lowest in the image so as to obtain segmenting value to accurately extract polygons of bare land based on automatic selection algorithm of threshold.
Keywords :
feature extraction; geomorphology; geophysical image processing; image segmentation; principal component analysis; rain; rivers; terrain mapping; vegetation; SPOT5 images; automatic selection algorithm; bare land extraction method; geological characteristics; image characteristics; image segmentation; integrated calculation method; principal component transformation; rain-induced shallow landslides; remote sensing images; remote sensing index; remote sensing indices; remote sensing mechanism; rivers; soil brightness index; terrain data; terrain shadows; vegetation characteristics; vegetation index; Data mining; Feature extraction; Indexes; Remote sensing; Soil; Terrain factors; Vegetation mapping; background value of remote sensing images; bare land; information extraction; landslides and collapses; remote sensing index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geomatics for Integrated Water Resources Management (GIWRM), 2012 International Symposium on
Conference_Location :
Lanzhou, Gansu
Print_ISBN :
978-1-4673-1283-7
Type :
conf
DOI :
10.1109/GIWRM.2012.6349545
Filename :
6349545
Link To Document :
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