Uncertain Category-Aware Fusion Network for Hyperspectral and LiDAR Joint Classification
Author:
Affiliation:
1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China
2. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China
Funder
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation of China
Natural Science Foundation of Ningbo Municipality
Zhejiang Province “Pioneering Soldier” and “Leading Goose” Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/36/10354519/10595999.pdf?arnumber=10595999
Reference37 articles.
1. Cross-scene wetland mapping on hyperspectral remote sensing images using adversarial domain adaptation network
2. Domain Adaptive Cross Reconstruction for Change Detection of Heterogeneous Remote Sensing Images via a Feedback Guidance Mechanism
3. A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data
4. Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification
5. MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection
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