Mineral Mapping with Hyperspectral Image Based on an Improved K-Means Clustering Algorithm-Reference-Cited by-同舟云学术

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Mineral Mapping with Hyperspectral Image Based on an Improved K-Means Clustering Algorithm

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Ren Zhongliang,Sun Lin,Zhai Qiuping,Liu XiRong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8891871/8897702/08899113.pdf?arnumber=8899113

Cited by 14 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. Multi-Dimensional Low-Rank with Weighted Schatten p-Norm Minimization for Hyperspectral Anomaly Detection;Remote Sensing;2023-12-24

2. Multispectral data mining: A focus on remote sensing satellite images;WIREs Data Mining and Knowledge Discovery;2023-11-22

3. Optimal Band Selection in Hyperspectral Images Using Improved K-Means Clustering with Spectral Similarity Measures;2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET);2023-09-12

4. A Two Stage Learning Algorithm for Hyperspectral Image Classification;2023 5th International Conference on Natural Language Processing (ICNLP);2023-03

5. Visual Analysis of Image Processing in the Mining Field Based on a Knowledge Map;Sustainability;2023-01-17

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