DocumentCode :
2149741
Title :
Study of uncertainties of hyperspectral image based on Fourier waveform analysis
Author :
Wu, Lun ; Gao, Zhenji ; Liu, Yu ; Yu, Hailong
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ.
Volume :
5
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
3279
Abstract :
Satellite-based spectra are a complicated function of imaging time, imaging azimuth, imaging channel, atmospheric status and ground object category. This complicated function accordingly leads to the ambiguity and uncertainty of satellite-based spectra and image classification. The uncertainty of satellite-based spectra can be divided into two categories. One is background noise; the other is SODS (same object different spectrum) and DOSS (different object similar spectrum). A method to analyze and lower the DOSS uncertainty of satellite-based spectra based on Fourier waveform analysis is discussed in this paper
Keywords :
Fourier transforms; geophysical signal processing; geophysical techniques; image classification; remote sensing; DOSS uncertainty; Fourier waveform analysis; SODS; atmospheric status; background noise; different object similar spectrum; gray value; ground object category; hyperspectral image uncertainties; image ambiguity; image classification; imaging azimuth; imaging channel; imaging time; same object different spectrum; satellite-based spectra; Atmospheric measurements; Atmospheric waves; Azimuth; Background noise; Geographic Information Systems; Hyperspectral imaging; Hyperspectral sensors; Image classification; Remote sensing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370402
Filename :
1370402
Link To Document :
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