Application of Maximum Likelihood and Spectral Angle Mapping Classification Techniques to Evaluate Forest Fire Severity from UAV Multi-spectral Images in South Korea
Author:
Publisher
MYU K.K.
Subject
General Materials Science,Instrumentation
Cited by 10 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. Remote Sensing and GIS Applications in Wildfires;Sustainable Development;2023-10-24
2. Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation;International Journal of Remote Sensing;2023-09-17
3. Use of Remotely Piloted Aircraft System Multispectral Data to Evaluate the Effects of Prescribed Burnings on Three Macrohabitats of Pantanal, Brazil;Remote Sensing;2023-06-04
4. A Multiagent Mission Coordination System for Continuous Situational Awareness of Bushfires;IEEE Transactions on Automation Science and Engineering;2023-04
5. Forest Burn Severity Mapping Using Multispectral Unmanned Aerial Vehicle Images and Light Detection and Ranging (LiDAR) Data: Comparison of Maximum Likelihood, Spectral Angle Mapper, and U-Net Classifiers;Sensors and Materials;2022-12-26
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