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