FSSLN: A Lightweight Frequency–Spectral–Spatial Cooperative Learning Network for Hyperspectral Image Classification
Open Access
- 1 January 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Vol. 19, 30968-30983
Abstract
No abstract availableFunding Information
- Xinjiang Uygur Autonomous Region Regional Collaborative Innovation Special Program (2026E02012)
- Central Asian Orogenic Belt, Geological Society of China (WZD-C-20240202)
- Key Technology Research and Application Demonstration for Selenium Industry Development in Southern Xinjiang (202213010)
- Tianshan-Altay Metallogenic Belt (20242126366)
- Major Science and Technology Special Program of Xinjiang Uygur Autonomous Region (2024A03011-1)
This publication has 44 references indexed in Scilit:
- DADIGAN: A dual attention blocks-based disentangled iterative Generative Adversarial Network for cloud and shadow removal on SAR and optical imagesInformation Fusion, 2025
- Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation2020
- Deep support vector machine for hyperspectral image classificationPattern Recognition, 2020
- Strip Pooling: Rethinking Spatial Pooling for Scene Parsing2020
- Deep learning classifiers for hyperspectral imaging: A reviewISPRS Journal of Photogrammetry and Remote Sensing, 2019
- CCNet: Criss-Cross Attention for Semantic Segmentation2019
- HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image2018
- An application based on the decision tree to classify the marbling of beef by hyperspectral imagingMeat Science, 2017
- A semi-supervised convolutional neural network for hyperspectral image classificationRemote Sensing Letters, 2017
- Evaluation of Food Quality and Safety with Hyperspectral Imaging (HSI)Food Engineering Reviews, 2015