Title :
Development of an automatic target detection and characterisation system in polarimetric SAR images
Author :
Yongjian, Yu ; Shun-Ji, Huang ; Torre, Andrea
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
An automatic algorithm that enables processing multi-look polarimetric SAR image data to automatically detect stationary ground man-made targets in diverse natural environments and then to characterise them by polarimetric characteristics is presented. The algorithm consists of three main building blocks: scaler CFAR, polarimetric discrimination, and unsupervised polarimetric classifier. The algorithm is applied to the polarimetric SAR images of San Francisco Bay for detection and classification of building targets
Keywords :
geophysical signal processing; geophysical techniques; image classification; radar imaging; radar polarimetry; radar target recognition; remote sensing by radar; synthetic aperture radar; California; San Francisco Bay; USA; United States; automatic algorithm; automatic target detection; building; characterisation system; discrimination; geophysical measurement technique; image processing; image recognition; land surface; man-made target; multi-look; polarimetric SAR image; radar remote sensing; scaler CFAR; synthetic aperture radar; terrain mapping; unsupervised classification; urban area; Automatic testing; Automation; Clutter; Covariance matrix; Data engineering; Detectors; Object detection; Pixel; Radar detection; System testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.524037
