DocumentCode :
2153971
Title :
Improved ship detection using polarimetric SAR data
Author :
Liu, C. ; Vachon, P.W. ; Geling, G.W.
Author_Institution :
Defence R&D, Ottawa, Ont.
Volume :
3
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
1800
Abstract :
The improvements in ship detection performance that can be obtained by using polarimetric synthetic aperture radar (SAR) data as compared to single-channel SAR data are investigated. Statistical decision theory is used to define decision variables that quantify the trade-off between the probability of missed detection and the probability of false alarm; performance is characterized by calculating receiver operating characteristics from single-channel and polarimetric SAR data by using likelihood ratio tests with the Neyman-Pearson criterion. It is shown that improvements in detection performance can be obtained with polarimetric SAR data as compared to single channel SAR data. We evaluate the results of these algorithms applied to single channel, dual channel amplitude only, dual channel with amplitude and phase, and fully polarimetric SAR data of known ships. In this way, the relative improvement in ship detection performance that is realized by introducing polarimetric information is quantified
Keywords :
geophysical signal processing; maximum likelihood estimation; radar detection; radar polarimetry; radar receivers; radar tracking; ships; synthetic aperture radar; target tracking; Neyman-Pearson criterion; decision variables; false alarm probability; likelihood ratio tests; missed detection probability; polarimetric SAR data; polarimetric information; polarimetric synthetic aperture radar data; radar receiver; ship detection; statistical decision theory; Clutter; Decision theory; Marine vehicles; Oceans; Polarization; Probability; Radar detection; Radar scattering; Spatial resolution; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370684
Filename :
1370684
Link To Document :
بازگشت