A Coarse-to-Fine Optimization for Hyperspectral Band Selection

IEEE Geoscience and Remote Sensing Letters, pp. 638-642, 2019.

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Abstract:

Hyperspectral band selection is a feature selection method that selects a most representative set of bands to achieve a good performance in several tasks such as classification and anomaly detection. It reduces the burden of storage, transmission, and computation. In this letter, a two-stage band selection algorithm is introduced. It sele...More

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