14 November 2007 SAR oil spill image processing with self-adapted wavelet
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Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903L (2007) https://doi.org/10.1117/12.751754
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In order to improve the efficiency of oil spill detection with wavelet analysis according to SAR image, a 2-D self-adapted scale and wavelet construction algorithm is designed. The self-adapted two-dimension scale function and wavelet is constructed according to oil spill SAR image with the construction algorithm. Original oil spill SAR image is processed with the constructed self-adapted scale and wavelet. The oil spill range is extracted exactly. In the SAR image procession, the scale and wavelet is correlative with the learning SAR image. In accordance with different learning image, different suitable scale and wavelet can be constructed self-adaptively, and multiresolution is avoided, the SAR image procession can be in real time.
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Chungeng Li, Chungeng Li, Jubai An, Jubai An, } "SAR oil spill image processing with self-adapted wavelet", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903L (14 November 2007); doi: 10.1117/12.751754; https://doi.org/10.1117/12.751754
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