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A decision fusion method based on multiple support vector machine system for fusion of hyperspectral and LIDAR data
2014
International Journal of Image and Data Fusion
Fusion of remote sensing data from multiple sensors has been remarkably increased for classification. This is because, additional sources may provide more information, and fusion of different information can produce a better understanding of the observed site. In the field of data fusion, fusion of light detection and ranging (LIDAR) and optical remote sensing data for land cover classification has attracted more attention. This paper addressed the use of a decision fusion methodology for the
doi:10.1080/19479832.2014.919964
fatcat:fac6nxytmbbudgm4ambiwyb4ai