Multiscale spectral-spatial feature learning for hyperspectral image classification

Muhammad Sohail; Zhao Chen; Bin Yang; Guohua Liu

doi:10.1016/j.displa.2022.102278

ScienceGate Book Chapters

JOURNAL ARTICLE

Multiscale spectral-spatial feature learning for hyperspectral image classification

Muhammad Sohail Zhao Chen Bin Yang Guohua Liu

Year: 2022 Journal: Displays Vol: 74 Pages: 102278-102278 Publisher: Elsevier BV

DOI: 10.1016/j.displa.2022.102278

Get Full-Text PDF Get Analytical Report

Keywords:

Hyperspectral imaging Artificial intelligence Discriminative model Pattern recognition (psychology) Computer science Feature (linguistics) Residual Feature learning Spatial analysis Deep learning Remote sensing Geography Algorithm

Metrics

Cited By

1.12

FWCI (Field Weighted Citation Impact)

Refs

0.76

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Multiscale spectral-spatial feature learning for hyperspectral image classification

Metrics

Citation History

Topics

Related Documents

Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification

Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification

Dynamic spectral–spatial multiscale feature extraction network for hyperspectral image classification

Hyperspectral Image Classification Based on Multiscale Spatial and Spectral Feature Network

Spectral–Spatial Discriminant Feature Learning for Hyperspectral Image Classification