Title :
The Best Fusion Method for ALOS Image in Karst Mountainous Area
Author :
Yang, Jinli ; Zhou, Zhongfa ; Chen, Quan
Author_Institution :
State Key Lab. Incubation Base for Karst Mountain Ecology Environ., Guizhou Normal Univ., Guiyang, China
Abstract :
GuiZhou is a typical karst region, the ecological environment background there is complex with sharp cutting surface, steep slope and the cloudy and rainy weather. It is difficult to get high-quality image data. In this paper, the best karst mountainous areas ALOS image fusion method will be searched by the new high resolution ALOS data. The methods are IHS, Wavelet, Brovey and IHS & Wavelet transformation. Based on the evaluation of comparing tests, it is proved that the method of IHS & Wavelet transformation could overcome some problems to achieve high-quality image in the karst mountainous areas and preserve multi-spectral information exactly as well as strengthening spatial resolution of ALOS images effectively.
Keywords :
geophysical image processing; geophysical techniques; image fusion; wavelet transforms; ALOS image fusion method; GuiZhou; ecological environment background; high resolution ALOS data; high-quality image data; karst mountainous area; multispectral information; rainy weather; sharp cutting surface; steep slope; typical karst region; wavelet transformation; Image fusion; Image resolution; Meteorology; Remote sensing; Standards; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
DOI :
10.1109/RSETE.2012.6260769
