Multi-Stage Convolutional Broad Learning with Block Diagonal Constraint for Hyperspectral Image Classification
By combining the broad learning and a convolutional neural network (CNN), a block-diagonal constrained multi-stage convolutional broad learning (MSCBL-BD) method is proposed for hyperspectral image (HSI) classification. Firstly, as the linear sparse feature extracted by the conventional broad learni...
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Published in | Remote sensing (Basel, Switzerland) Vol. 13; no. 17; p. 3412 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.09.2021
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Subjects | |
Online Access | Get full text |
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