A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Spectral and Spatial Discriminant Analysis for Fused Feature Extraction in Hyperspectral Images
2013
MODARES JOURNAL OF ELECTRICAL ENGINEERING
unpublished
The fusion of valuable spectral and spatial features can significantly improve the performance of high resolution hyperspectral images classification. In this paper, we propose a spectral and spatial feature extraction method based on discriminant analysis. To increase the class discrimination, we maximize the between-class scatters and minimize the within-class scatters. To include the spatial information in the feature extraction process, we estimate the spatial scatters in a spatial
fatcat:56zpxqykobfl5iykuttdnhxy3q