Title :
A Speckle Noise Separation Algorithm Based on Non-linear Mixture Model
Author :
Li, Dahui ; Dai, Xuefeng ; Shi, Yan
Author_Institution :
Qiqihar Univ., Qiqihar
Abstract :
Speckle noise separation is an important problem in the remote sensing technology applications. According to analyzing the production principle and transfer feature, speckle noise separation model that is suitable for nonlinear mixture environment is presented and speckle noise separation algorithm based on nonlinear mixture is designed at same time. The experiment proved that speckle index can be lowered effectively. Processed image can show features of details of the proposed method.
Keywords :
feature extraction; image denoising; speckle; nonlinear mixture model; processed image; remote sensing technology; speckle index; speckle noise separation algorithm; transfer feature; Algorithm design and analysis; Earth; Electromagnetic scattering; Filters; Matrix decomposition; Production; Sensor arrays; Speckle; Wavelet transforms; Working environment noise;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.92