Abstract
A proportion estimation of Mixed Pixels(M1XELs) based on Inversion Problem Solving technique with previously estimated proportion of neighboring mixels is proposed. Exprimental results with simulation data shows that the proposed method is superior to the previously proposed conventional method with generalized inverse matrix by 81 times in terms of RMS error, or proportion estimation accuracy in the maximum case. Keyword Inversion Problem Solving, Contextual classification, Proportions estimation, A prior information, Minimum Information Method.
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