Multiscale Convolutional Mask Network for Hyperspectral Unmixing
Author:
Affiliation:
1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/4609443/10330207/10387563.pdf?arnumber=10387563
Reference61 articles.
1. Sparse Transfer Manifold Embedding for Hyperspectral Target Detection
2. An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis
3. Two-Stream Convolutional Networks for Hyperspectral Target Detection
4. On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification
5. Graph Convolutional Networks for Hyperspectral Image Classification
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Multi-Scale Mask Convolution-Based Blind-Spot Network for Hyperspectral Anomaly Detection;Remote Sensing;2024-08-18
2. DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
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