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Research on dimension reduction method for hyperspectral remote sensing image based on global mixture coordination factor analysis
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Over the past thirty years, the hyperspectral remote sensing technology is attracted more and more attentions by the researchers. The dimension reduction technology for hyperspectral remote sensing image data is one of the hotspots in current research of hyperspectral remote sensing. In order to solve the problems of nonlinearity, the high dimensions and the redundancy of the bands that exist in the hyperspectral data, this paper proposes a dimension reduction method for hyperspectral remote
doi:10.5194/isprsarchives-xl-7-w4-159-2015
fatcat:h4v4xf62kvbatjlliin7zcdlzi