Nonlinear Neural Network Mixture Models for Fractional Abundance Estimation in Aviris Hyperspectral Images
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چکیده
The interpretation of mixed pixels is a key factor in the analysis of hyperspectral imagery. Mixed pixels are a mixture of more than one distinct substance, and exist for one of two reasons. Firstly, if the spatial resolution of the sensor is not high enough to separate different materials, these can jointly occupy a single pixel, and the resulting spectral measurement will be a composite of the individual spectra that reside within the pixel. Secondly, mixed pixels can also result when distinct materials are combined into a homogeneous mixture [1]. This circumstance occurs independent of the spatial resolution of the sensor.
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تاریخ انتشار 2005