EGCN: Enhanced Graph Convolutional Network for Hyperspectral Image Classification
Author:
Affiliation:
1. School of Electronics and Electrical Engineering, Bengbu University, China
Funder
Department of Education of Anhui Province
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3672121.3672148
Reference21 articles.
1. Deep Learning for Hyperspectral Image Classification: An Overview
2. Semisupervised hyperspectral band selection based on dual-constrained low-rank representation;Yu C.;IEEE Geoscience and Remote Sensing Letters,2022
3. Yang C., Kong Y., Wang X., Hyperspectral image classification based on adaptive global-local feature fusion. Remote Sensing, 2024, 16(11):1918.
4. Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning
5. Sparsity divergence index based on locally linear embedding for hyperspectral anomaly detection
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