This work was supported by the National Science Fund for Distinguished Young Scholars(62325104).
The quality of synthetic aperture radar(SAR)image degrades in the case of multiple imaging projection planes(IPPs)and multiple overlapping ship targets,and then the performance of target classification and recognition...
supported by the National Natural Science Foundation of China(62002208;61572063;61603225);the Natural Science Foundation of Shandong Province(ZR2016FQ04)。
A novel synthetic aperture radar(SAR)image de-noising method based on the local pixel grouping(LPG)principal component analysis(PCA)and guided filter is proposed.This method contains two steps.In the first step,we pro...
supported by the National Natural Science Foundationof China(61302148;61101182)
Target micromotion not only plays an important role in target recognition but also leads to esoteric characteristics in synthetic aperture radar (SAR) imaging. This paper finds out an interesting phenomenon, i.e. th...
supported by the Specialized Research Found for the Doctoral Program of Higher Education (20070699013);the Natural Science Foundation of Shaanxi Province (2006F05);the Aeronautical Science Foundation (05I53076)
Traditional image segmentation methods based on MRF converge slowly and require pre-defined weight. These disadvantages are addressed, and a fast segmentation approach based on simple Markov random field (MRF) for S...
Combining beamlet transform with steerable filters, a new edge detection method based on line gradient is proposed. Compared with operators based on point local properties, the edge-detection results with this method ...
Entropy maximization thresholding is a simple, effective image segmentation method. The relation between the histogram entropy and the gray level of an image is analyzed. An approach, which speeds the computation of o...