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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723197
