Multi-Stage Convolutional Broad Learning with Block Diagonal Constraint for Hyperspectral Image Classification

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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Bibliographic Details
Main Authors: Yi Kong, Xuesong Wang, Yuhu Cheng, C. L. Philip Chen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
broad learning system
convolutional neural network
hyperspectral image
classification
block diagonal
Online Access:https://www.mdpi.com/2072-4292/13/17/3412

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