DocumentCode
3306957
Title
Spectral data analysis of ground objects in Chao Lake basin
Author
Liu, Jia ; Yin, Qiu ; Xu, Hua ; Li, Li ; Chen, Zhenghua ; Ren, Yuhuan ; Hou, Weizhen ; Yin, Pengfei
Author_Institution
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
25-30 July 2010
Firstpage
891
Lastpage
894
Abstract
Based on a great deal of spectral data for different kinds of ground objects which were denoised by wavelet transform method, the spectral characteristics and changing rules of water, paddy field, wheat, cole and vegetable greenhouse in Chao Lake basin were analyzed with ASD portable spectrum analyzer by field investigation and plot survey. The spectral data of typical ground objects in Chao Lake basin were also processed by using mathematics technology such as de-noising technology of derivative spectrum technology and normalization processing technology. It was shows that wavelet transform had advantage in de-noising because it could remove the noise from signal as well as preserve the detail information; derivative spectrum and normalization processing technology had better practicability in suppressing background effect and emphasizing the signal of objects.
Keywords
geophysical image processing; geophysical techniques; image denoising; remote sensing; spectral analysis; wavelet transforms; ASD portable spectrum analyzer; Chao Lake basin; background effect supression; cole; derivative spectrum; ground objects; image denoising; normalization processing; paddy field; spectral data analysis; vegetable greenhouse; water area; wavelet transform method; wheat; Green products; Lakes; Plastics; Reflectivity; Remote sensing; Wavelet transforms; Remote sensing; Spectral analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5649917
Filename
5649917
Link To Document