Application of Maximum Likelihood and Spectral Angle Mapping Classification Techniques to Evaluate Forest Fire Severity from UAV Multi-spectral Images in South Korea-Reference-Cited by-同舟云学术

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Application of Maximum Likelihood and Spectral Angle Mapping Classification Techniques to Evaluate Forest Fire Severity from UAV Multi-spectral Images in South Korea

Published:2021-11-17 Issue:11 Volume:33 Page:3745
ISSN:0914-4935
Container-title:Sensors and Materials
language:en
Short-container-title:

Author:

Woo Heesung,Acuna Mauricio,Madurapperuma Buddhika,Jung Geonhwi,Woo Choongshik,Park Joowon

Publisher

MYU K.K.

Subject

General Materials Science,Instrumentation

Cited by 11 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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