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To calculate electromagnetic scattering problems over a wide incident angle by finite Element Boundary integral (FE-BI), the difficult usually lies in a great amount of repeated computation, since iterative operations are required at every angle with the incident direction changing. A new solution scheme based on compressed sensing (CS) is proposed combined with FE-BI to improve the computational...
Edge detection is very useful and important for image processing and computer vision, as it can locate significant variations of gray images. In this paper, an algorithm based on beamlet transform is proposed to detect edges in image. Beamlets can be generated by recursive dyadic partitioning, vertex marking and connecting, the beamlet transform is the collection of all line integrals formed by viewing...
Linear feature extraction is an important problem for remote sensing image processing, and it is very difficult to extract those linear features embedded in strong noise or when the SNR (signal to noise) is low like the complicated environment of remote sensing image. In this paper, an algorithm based on wedgelet decomposition is proposed to extract linear features from remote sensing image. Firstly,...
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