An improved method to detect remote sensing image targets captured by sensor network |
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Authors: | Yingchun Shen Hai Jin Bo Du |
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Institution: | SHEN Yingchun1,2,JIN Hai1,DU Bo3 1. School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China,2. Wuhan Digital Engineering Institute,3. School of Computer,Wuhan University,Wuhan 430072 |
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Abstract: | In order to detect targets from the hyper-spectral images captured by unmanned aerial vehicles, the images are moved into a new characteristic space with greater divisibility by making use of the manifold learning theory. On this basis, a furation impulse response (FIR) filter is developed. The output energy can be minimized after images passing through a FIR filter. The target pixel and the background pixel are distinguished according to the restrained conditions. This method can effectively suppress noise... |
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Keywords: | wireless sensor network target detection manifold learning theory constrained energy minimization |
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