Learning-Based Optimization of Hyperspectral Band Selection for Classification
C.O. Ayna, R. Mdrafi, Q. Du, A.C. Gurbuz Remote Sensing 15, no. 18: 4460. https://doi.org/10.3390/rs15184460 We propose a deep learning (DL) architecture composed of a constrained measurement learning network for band selection, followed by a classification network optimizing the final classification loss while learning to select the bands for this task. In this way, the proposed network directly learns to select bands that enhance the classification performance. For more, please check out our full manuscript here
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AuthorAli C. Gurbuz is an Assistant Professor in the Dept. of Electrical and Computer Engineering at Mississippi State University and director of Information Processing and Sensing (IMPRESS) lab Archives
September 2023
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