Engineering
7 years ago

Cutting-edge techniques revolutionize hyperspectral image classification for material detection.

IEEE Geoscience and Remote Sensing Magazine
Discriminant Analysis-Based Dimension Reduction for Hyperspectral Image Classification: A Survey of the Most Recent Advances and an Experimental Comparison of Different Techniques
Wei Li, Fubiao Feng, Heng-Chao Li, Qian Du

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The article discusses ways to make sense of hyperspectral images, which have lots of bands showing different materials. To simplify this complex data, researchers use discriminant analysis to reduce the number of bands without losing important details. They compare different techniques like linear discriminant analysis and sparse graph-based discriminant analysis to see which works best.