An Improved Method to Detect Remote Sensing Image Targets Captured by Sensor Network

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 outp...

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Bibliographic Details
Published in:Wuhan University journal of natural sciences 2011-08, Vol.16 (4), p.301-307
Main Authors: Shen, Yingchun, Jin, Hai, Du, Bo
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Computer Science
Life Sciences
Materials Science
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Summary: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 noises and detect sub-pixel targets in the hyper-spectral remote sensing image of unknown background spectrum.
ISSN:1007-1202
1993-4998
DOI:10.1007/s11859-011-0754-7