Cascaded hypergraph compression and reconstruction with semantic-aware segmentation and spectral unmixing for hyperspectral image classification
- 16 January 2026
- journal article
- research article
- Published by Springer Nature in Signal, Image and Video Processing
- Vol. 20 (1) , 24
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (62271302,62101316)
- Shanghai Municipal Natural Science Foundation (20ZR1423500)
This publication has 21 references indexed in Scilit:
- Dual selective fusion transformer network for hyperspectral image classificationNeural Networks, 2025
- Conditional Optimal Filter Selection For Multispectral Object Classification2024
- Hyperspectral image classification using graph convolutional network: A comprehensive reviewExpert Systems with Applications, 2024
- Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)ISPRS Journal of Photogrammetry and Remote Sensing, 2023
- CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 2020
- Superpixel Segmentation With Fully Convolutional Networks2020
- Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 2019
- HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image ClassificationIEEE Geoscience and Remote Sensing Letters, 2019
- Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning FrameworkIEEE Transactions on Geoscience and Remote Sensing, 2017
- Hyperspectral image data analysisIEEE Signal Processing Magazine, 2002