MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection

Author:

Kumar Satish1,Arevalo Ivan1,Iftekhar ASM1,Manjunath B S1

Affiliation:

1. University of California Santa Barbara,Department of Electrical and Computer Engineering

Funder

NSF

US Army Research Laboratory (ARL)

Publisher

IEEE

Cited by 7 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. An explainable MHSA enabled deep architecture with dual-scale convolutions for methane source classification using remote sensing;Environmental Modelling & Software;2024-10

2. Earth Observation and Machine Learning for Climate Change;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Chemical signature characterization with hyperspectral imagery: novel deep learning model architectures and physically-motivated data augmentation techniques;Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXX;2024-06-07

4. Application of Support Vector Machine for Classification of Plumes from Hyper Spectral Images;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

5. Deep learning applied to CO2 power plant emissions quantification using simulated satellite images;Geoscientific Model Development;2024-03-05

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