DocumentCode :
2963333
Title :
A Novel Method of Visualization for SAR Images
Author :
Zhou, Guangyi ; Zhong, Hua ; Yang, Jian
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
373
Lastpage :
376
Abstract :
Visual interpretation of SAR images plays a critical role in remote sensing applications. For obtaining the image suitable for human observation, a new method of visualization for SAR images is proposed in this paper. The proposed algorithm takes a negative exponential transformation on the original SAR image. The parameter of the transformation can be computed rapidly based on the characteristic statistics of the SAR images. Using several areas of a NASA/JPL AIRSAR images, the effectiveness of the proposed method is demonstrated by comparing with two commonly used algorithms.
Keywords :
data visualisation; radar imaging; remote sensing by radar; statistical analysis; synthetic aperture radar; NASA-JPL AIRSAR images; SAR image visualization; characteristic statistics; negative exponential transformation; remote sensing; Estimation; Histograms; Humans; NASA; Pixel; Synthetic aperture radar; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.377
Filename :
5750902
Link To Document :
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