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A High Speed Mixel Estimation Method by Using the Genetic Algorithm

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2 Author(s)
Ito, S. ; Dept. of Global Environ. Studies, Hiroshima Inst. of Technol., Hiroshima, Japan ; Oguro, Y.

The mixel (mixed pixel) which includes the multiple categories is one of the error factor in the land cover classification. Also to solve the mixel problem it requires a lot of calculations. A high speed mixel estimation method by using the Genetic Algorithm (GA) is proposed in this paper. In the result of the simulation for the actual remotely sensed data it shows the computation time reduces approximately 75% than the conventional method. For the quantitative evaluation by the simulated mixel data and actual image data, moreover, it is found that the accuracies of the mixel analysis of the proposed method is slightly better than those in some cases.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on

Date of Conference:

12-14 Sept. 2009

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