DocumentCode
3058816
Title
Statistical analysis and modeling of TerraSAR-X images for CFAR based target detection
Author
Ni Weiping ; Yan Weidong ; Wu Junzheng ; Zheng Gang ; Lu Ying
Author_Institution
Northwest Inst. of Nucl. Technol., Xian, China
fYear
2013
fDate
21-26 July 2013
Firstpage
1983
Lastpage
1986
Abstract
TerraSAR-X is the first commercially operated high resolution space-borne SAR in the world, which shows good potential in target detection fields. Statistical analysis and modeling are key steps in SAR images based automatic target detection systems. With four typical statistical measures, lognormal distribution is proved well to fit the histograms of TerraSAR-X images over land and ocean regions, and more suitable than Weibull, Gamma, K, G0 and α stable distributions to modeling statistics of such images. Additionally, the MLE based parameters estimation and simply analytical expression of detection threshold also indicates the effectiveness and efficiency of lognormal based CFAR for target detection.
Keywords
data analysis; geophysical image processing; log normal distribution; maximum likelihood estimation; object detection; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; CFAR based target detection; MLE based parameter estimation; TerraSAR-X image modeling; TerraSAR-X image statistical analysis; automatic target detection systems; detection threshold; high resolution spaceborne SAR; log-normal distribution; statistical measures; target detection fields; Analytical models; Histograms; Image resolution; Object detection; Oceans; Statistical analysis; Synthetic aperture radar; MSTAR image; combined thresholding rules; image segmentation; moment feature transformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723197
Filename
6723197
Link To Document