Landsat ETM+ data fusion by genetic algorithm for generating high spatial and spectral resolution images
نویسندگان
چکیده
This work proposes the use of Genetic Algorithms (GA) as an optimization method for the Linear Mixture Model (LMM), with the purpose of fusing multispectral images that preserve the best spatial and spectral features of the source images. The algorithm proposed has been evaluated for images registered by the Landsat 7 ETM+ sensor. In this study, the high spatial resolution image (HSRI) corresponds to the panchromatic image of this sensor, with a spatial resolution of 15m and the low spatial resolution image (LSRI) corresponds to the spectral bands TM1, TM2, TM3, TM4, TM5 and TM7, with a spatial resolution of 30m. As a result, images have been obtained with spectral resolution of the 6 bands and a spatial resolution of 15m. The improvement in the quality of the fused images has allowed the identification of new, more homogeneous spectral classes.
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