Detecting coal fires with a neural network to reduce the effect of solar radiation on Landsat Thematic Mapper thermal infrared images
Author:
Affiliation:
1. a Department of Computer Science and Engineering , Northwestern Polytechnical University , Xi'an, Shaanxi, 710072, China
2. b Aerophotogrammetry and Remote Sensing Center of China Coal , Xi'an, Shaanxi, 710054, China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/014311601300074469
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1. Study on the influence of coal fire on the temporal and spatial distribution of CO2 and CH4 gas emissions;Environmental Science and Pollution Research;2023-05-29
2. Application of unmanned aerial vehicle (UAV) thermal infrared remote sensing to identify coal fires in the Huojitu coal mine in Shenmu city, China;Scientific Reports;2020-08-17
3. Coal Fire Study Over East Basuria Colliery;Springer Geophysics;2020
4. Integration of satellite remote sensing data in underground coal fire detection: A case study of the Fukang region, Xinjiang, China;Frontiers of Earth Science;2019-09-23
5. Relationship in metastasis of coal fire and land use/cover using thermal imagery and support vector machine classifier;Arabian Journal of Geosciences;2018-03
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