A knowledge guided deep learning framework for underground natural gas micro-leaks detection from hyperspectral imagery
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DOI: 10.1016/j.energy.2024.130847
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- Battude, Marjorie & Al Bitar, Ahmad & Brut, Aurore & Tallec, Tiphaine & Huc, Mireille & Cros, Jérôme & Weber, Jean-Jacques & Lhuissier, Ludovic & Simonneaux, Vincent & Demarez, Valérie, 2017. "Modeling water needs and total irrigation depths of maize crop in the south west of France using high spatial and temporal resolution satellite imagery," Agricultural Water Management, Elsevier, vol. 189(C), pages 123-136.
- Yang, Zhenfeng & Tian, Juncang & Wang, Zhi & Feng, Kepeng & Ouyang, Zan & Zhang, Lixin & Yan, Xinfang, 2023. "Coupled soil water stress and environmental effects on changing photosynthetic traits in wheat and maize," Agricultural Water Management, Elsevier, vol. 282(C).
- Jiang, Jinbao & Steven, Michael D. & He, Ruyan & Chen, Yunhao & Du, Peijun, 2016. "Identification of plants responding to CO2 leakage stress using band depth and the full width at half maxima of canopy spectra," Energy, Elsevier, vol. 100(C), pages 73-81.
- Jiang Jinbao & Michael D Steven & Cai Qingkong & He Ruyan & Guo Haiqiang & Chen Yunhao, 2014. "Detecting bean stress response to CO 2 leakage with the utilization of leaf and canopy spectral derivative ratio," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 4(4), pages 468-480, August.
- Chen, Yun & Guerschman, Juan P & Cheng, Zhibo & Guo, Longzhu, 2019. "Remote sensing for vegetation monitoring in carbon capture storage regions: A review," Applied Energy, Elsevier, vol. 240(C), pages 312-326.
- Luna, Marcos & Nicholas, Dominic, 2022. "An environmental justice analysis of distribution-level natural gas leaks in Massachusetts, USA," Energy Policy, Elsevier, vol. 162(C).
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Keywords
Hyperspectral image; Natural gas leaks; Physical model; Deep learning model;All these keywords.
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