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

Volume

3

fYear

34881

fDate

10-14 Jul1995

Firstpage

1822

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1995.524037

Filename

524037