Title :
Comparison of optimised processors for the detection and segmentation of oil slicks with polarimetric SAR images
Author :
Lombardo, P. ; Conte, D.I. ; Morelli, A.
Author_Institution :
Dept. INFOCOM, Rome Univ., Italy
Abstract :
Three algorithms are proposed for the CFAR detection of dark regions in polarimetric SAR images of the sea. To set the detection threshold, a closed form expression is derived for the probability of false alarm (Pfa) of the techniques that are also compared by Monte Carlo simulations. The application to a SIR-C image is also used to assess their performance
Keywords :
environmental science computing; geophysical signal processing; image segmentation; oceanographic techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; water pollution measurement; CFAR detection; Monte Carlo simulation; SAR polarimetry; SIR-C; algorithm; closed form expression; constant false alarm rate; dark region; detection threshold; false alarm; image segmentation; marine pollution; measurement technique; ocean; oil pollution; oil slick; optimised processor; polarimetric SAR; probability; radar imaging; radar polarimetry; radar remote sensing; synthetic aperture radar; water pollution; Covariance matrix; Detectors; Image segmentation; Maximum likelihood detection; Maximum likelihood estimation; Performance analysis; Petroleum; Sea measurements; Sea surface; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.860303
