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A dimensionality reduction algorithm based on feature extraction of the spectral curve using fractal analysis which considering both the spatial characteristic and spectral characteristic of hyper spe...
The recent surge in remotely sensed imagery with multi to hyper spectral cubes has made it very difficult to detect features because of the sheer volume of data. In a sense it is locating the needle i...
APPLICATION OF HYPER-SPECTRAL DATA FOR FOREST STAND MAPPING.
With the number of channels in the hundreds instead of in the tens Hyper spectral imagery possesses much richer spectral information than multispectral imagery. The increased dimensionality of such Hy...
This paper proposes a method for simultaneously estimating land surface temperature (LST) and spectral emissivity using hyper-spectral thermal infrared observations. The main approach is finding the v...

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