A Method of Target Detection in Remote Sensing Image Captured based for Sensor Network
Автор: Yingchun Shen, Hai Jin
Журнал: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt
Статья в выпуске: 1 Vol.2, 2012 года.
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A refined energy constrained minimization method is developed for target detection in hyperspectral remote sensing images captured by unmanned aerial vehicles (UAVs) during their surveillance missions, which has been tested in the experiment under this paper. The experiment result proves, in the detection process, this method can effectively restrain noises so far as the spectral characteristics of any potential target are known, and find sub-pixel targets out effectively from the hyperspectral remote sensing image in unknown background spectrum.
Sensor network, target detection, hyperspectral image, energy constrained minimization
Короткий адрес: https://sciup.org/15012784
IDR: 15012784
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