Using radarsat to detect and monitor stationary fishing gear and aquaculture gear on the eastern Gulf of Thailand

Five Radarsat-1 images from the fine beam mode (F2, F4, F5) taken between April and July 2002 were processed and statistically analyzed to determine their fishing and aquaculture gear detection abilities. Combinations of these multi-temporal and multi-angle images were used to attempt detection and separation of the gear types. Image processing techniques such as speckle filtering, region-based segmentation and supervised classification were applied to test the ability to separate the backscatter signals of four different gear types common to the study area.