DSL-BC: Deep Subspace Learning with Boundary Consistency for Hyperspectral Image Classification
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DOI: 10.1109/tgrs.2022.3177216
Abstract: Deep subspace learning (DSL) plays an essential role in hyperspectral image classification, providing an effective solution tool to reduce the redundant information of hyperspectral image (HSI) pixels. Semi-supervised convolutional neural network (CNN)-based DSL methods can… read more here.
Keywords: boundary consistency; classification; dsl; subspace ... See more keywords