The Extraction of Oil and Gas Information by Using SAS Imagery in the Jimusaer Field, Xinjiang-Clay Alteration Minerals

Peng, Tao; Wang, Maozhi

doi:10.1007/978-3-319-18663-4_106

Cited by 2 publications

(1 citation statement)

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“…A prediction model for PHC concentrations in soils was developed based on field experiments and spectral measurements, indicating the potential utility of hyperspectral data for oil industry exploration and environmental monitoring. In [29], the authors demonstrates the application of SASI aerial hyperspectral data to extract information about clay alteration minerals in the Jimusaer Area, Xinjiang Province, China, with relevance to oil and gas exploration. The study involves data processing steps like calibration, spectral reconstruction, noise separation, and automatic recognition using the PPI and MTMF methods, providing a valuable method for mineral alteration mapping in the context of oil and gas exploration using hyperspectral remote sensing.…”

Section: A Earth Sciences Exploration and Monitoringmentioning

confidence: 99%

Hyperspectral Imaging Algorithms and Applications: A Review

Akewar,

Chandak

2023

Preprint

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<p>The paper covers topics ranging from hyperspectral imaging applications to innovative algorithms that have enhanced the analysis of hyperspectral data. We delve into the practical applications, including Agriculture, Food Quality and Safety, Earth Sciences, Exploration and Monitoring, Healthcare, Pharmaceuticals, Medical Imaging, Industrial Manufacturing, Management, Conservation, Safety and Security. Our goal is to provide a holistic understanding of how hyperspectral imaging is transforming these fields and driving new possibilities. We also discussed detailed algorithmic development in Hyperspectral Imaging including Supervised and Unsupervised algorithms. We reviewed algorithmic development from the early 1980’s to recent developments including Artificial Intelligence involving algorithms from Machine Learning to Deep Learning. We believe our paper will be of particular interest to your readers for those who wish to study algorithm development from simple image processing procedures to AI based approaches and how these algorithms are used in diverse applications to make intelligent decisions for increasing productivity and efficiency in Agriculture, Exploration and Management and identification of diseases and natural resources. Our paper is well organized into various sections as per algorithms and applications. We reviewed more than 250 papers with proper citations and authors' research work.</p>

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Section: A Earth Sciences Exploration and Monitoringmentioning

confidence: 99%