ICA-Based Point Target Extraction for Sea-SAR Images with Intensive Noises
Jie Yang · Journal of Kunming University of Science and Technology · 2008
Fractal and ICA(Independent Component Analysis) are combined to detect point targets in sea-SAR(Synthetic Aperture Radar) images with intensive noises.First, pointwise Hlder exponent of original image is computed.Then,binary-fuzzy processing is employed to modify the Hlder image and the new H-image is used as input for ICA algorithm.A generalized adjustable operator is used thereafter to enhance the independent components computed from ICA,and the point target can be detected in the recovery image finally.It is shown through the results that the proposed algorithm sharply reduces the speckle and that a successful target extraction immune to intensive noise is obtained.