Paper
1 April 2003 Wavelet image processing applied to hyperspectral images for foliage penetration
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Abstract
Detecting man-made objects concealed in dense foliage is an ongoing challenge in military imaging. There is a need to detect, recognize and classify objects and background. Wavelets will be combined with spectral derivatives to detect the 'red edge' to distinguish between foliage and camouflaged man-made objects.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Katharine J. Jones "Wavelet image processing applied to hyperspectral images for foliage penetration", Proc. SPIE 5102, Independent Component Analyses, Wavelets, and Neural Networks, (1 April 2003); https://doi.org/10.1117/12.484814
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Vegetation

Camouflage

Wavelets

Hyperspectral imaging

Remote sensing

Algorithm development

Wavelet image processing

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