Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification

Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification

Convolutional neural networks have garnered increasing interest for the supervised classification of hyperspectral imagery. However, images with a wide variety ofspatial land-cover sizes can hinder the feature-extraction ability of traditional convolutional networks. Consequently, many approaches in...

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Bibliographic Details
Main Authors: Zhen Ye, Cuiling Li, Qingxin Liu, Lin Bai, James E. Fowler
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural networks (CNNs)
feature fusion
hyperspectral image (HSI) classification
multiscale feature extraction
Online Access:https://ieeexplore.ieee.org/document/9786664/

Internet

https://ieeexplore.ieee.org/document/9786664/

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