supported by the Fundamental Research Funds for the Central Universities of China(No.160302)
This paper proposes a new SAR image segmentation method based on graph and gray level reduction in Independent component analysis(ICA) space. Firstly,according to the grayscale information of SAR image, effective use ...
supported by the National Natural Science Foundation of China (No.61101248);the Fundamental Research Funds for the Central Universities of China(No.JB160302,No.JB150317)
A new method for Synthetic aperture radar(SAR) image denoising is proposed.The prior information of speckle statistical model can be exploited to judge its distribution.The basis of SAR image can be estimated by Indep...
This China (No.61262036), the National Basic Research Program of for Distinguished Young Scholars (No.61125206). work is partially supported by the National Natural Science Foundation of China (973 Program) (No.2010CB327900) and the National Science Fund
Synthetic aperture radar (SAR) image seg- mentation is the basis of SAR image analysis and under- standing. A segmentation method based on the neigh- bor and near spatial relationship is proposed to reduce the speck...
This work is supported by the National Natural Science Foundation of China (No.60375003) and Aeronautics and Astronautics Basal Science Foundation of China (No.03153059).
A Generalized multiresolution likelihood ratio (GMLR), which can increases the distinction between different signals by fusing their more features, is defined. The GMLR for SAR (Synthetic aperture radar) image, th...
We propose a multiscale Bayesian segmentation algorithm for SAR image in this paper. A hierarchical two-level Markov random field (MRF) is applied to represent both texture and region label over the wavelet lattice. T...