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26 results on '"Liu, Yin-Nian"'

3. Anomaly Detection in Satellite-Borne Push-Broom Hyperspectral Imagery Based on Joint Low-Rank Tensor Approximation

Author

Lv, Shuai and Liu, Yin-Nian

Abstract

Hyperspectral anomaly detection aims to detect potential targets of interest in hyperspectral images (HSIs). In this article, we propose a joint low-rank tensor approximation-based anomaly detection method that incorporates the distinct physical characteristics of satellite-borne push-broom HSIs. In our method, an HSI is decomposed into a background tensor and an anomaly tensor. For the background tensor, the spatial correlations between pixels give it a low-rank characteristic in frontal slices, while the spectral correlations among adjacent bands and similar ground materials give it low-rank properties in horizontal slices. Therefore, in order to simultaneously and flexibly exploit the correlations in both the spatial and spectral dimensions of the background tensor, we design a joint low-rank constraint term of the background tensor, using the weighted tensor nuclear norm based on tensor singular value decomposition (t-SVD), which applies to both the background tensor and its permutation tensor. In addition, considering the homogeneity of adjacent pixels in the background, which results in spatial piecewise smoothness of the background tensor, we incorporate a linear total variation norm regularization term to more accurately characterize the background tensor. For the anomaly tensor, an $ \boldsymbol {l}_{ \boldsymbol {1,1,2}}$ -norm regularization term is employed to characterize its tubewise sparsity. We incorporate all regularization terms and a fidelity term into a nonconvex framework and solve it using the alternating direction method of multipliers. The experimental results using real HSIs from the GaoFen-5 and ZiYuan1–02D satellites demonstrated that the proposed method outperforms seven comparison methods.

Published
2024
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5. Satellite-based survey of extreme methane emissions in the Permian basin

Author

Irakulis-Loitxate, Itziar, primary, Guanter, Luis, additional, Liu, Yin-Nian, additional, Varon, Daniel J., additional, Maasakkers, Joannes D., additional, Zhang, Yuzhong, additional, Chulakadabba, Apisada, additional, Wofsy, Steven C., additional, Thorpe, Andrew K., additional, Duren, Riley M., additional, Frankenberg, Christian, additional, Lyon, David R., additional, Hmiel, Benjamin, additional, Cusworth, Daniel H., additional, Zhang, Yongguang, additional, Segl, Karl, additional, Gorroño, Javier, additional, Sánchez-García, Elena, additional, Sulprizio, Melissa P., additional, Cao, Kaiqin, additional, Zhu, Haijian, additional, Liang, Jian, additional, Li, Xun, additional, Aben, Ilse, additional, and Jacob, Daniel J., additional

Published
2021
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6. Satellite-based survey of extreme methane emissions in the Permian basin

Author

Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient, Westlake University, Universitat Politècnica de València, National Natural Science Foundation of China, Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ, Irakulis-Loitxate, Itziar, Guanter-Palomar, Luis María, Liu, Yin-Nian, Varon, Daniel J., Maasakkers, Joannes D., Zhang, Yuzhong, Chulakadabba, Apisada, Wofsy, Steven C., Thorpe, Andrew K., Duren, Riley M., Frankenberg, Christian, Lyon, David R., Hmiel, Benjamin, Cusworth, Daniel H., Zhang, Yongguang, Segl, Karl, Gorroño-Viñegla, Javier, Sánchez-García, Elena, Sulprizio, Melissa P., Cao, Kaiqin, Zhu, Haijian, Liang, Jian, Li, Xun, Aben, Ilse, Jacob, Daniel J., Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient, Westlake University, Universitat Politècnica de València, National Natural Science Foundation of China, Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ, Irakulis-Loitxate, Itziar, Guanter-Palomar, Luis María, Liu, Yin-Nian, Varon, Daniel J., Maasakkers, Joannes D., Zhang, Yuzhong, Chulakadabba, Apisada, Wofsy, Steven C., Thorpe, Andrew K., Duren, Riley M., Frankenberg, Christian, Lyon, David R., Hmiel, Benjamin, Cusworth, Daniel H., Zhang, Yongguang, Segl, Karl, Gorroño-Viñegla, Javier, Sánchez-García, Elena, Sulprizio, Melissa P., Cao, Kaiqin, Zhu, Haijian, Liang, Jian, Li, Xun, Aben, Ilse, and Jacob, Daniel J.

Abstract

[EN] Industrial emissions play a major role in the global methane budget. The Permian basin is thought to be responsible for almost half of the methane emissions from all U.S. oil- and gas-producing regions, but little is known about individual contributors, a prerequisite for mitigation. We use a new class of satellite measurements acquired during several days in 2019 and 2020 to perform the first regional-scale and high-resolution survey of methane sources in the Permian. We find an unexpectedly large number of extreme point sources (37 plumes with emission rates >500 kg hour(-1)), which account for a range between 31 and 53% of the estimated emissions in the sampled area. Our analysis reveals that new facilities are major emitters in the area, often due to inefficient flaring operations (20% of detections). These results put current practices into question and are relevant to guide emission reduction efforts.

Published
2021

7. Satellite-based characterization of methane point sources in the Permian Basin

Author

Irakulis-Loitxate, Itziar, primary, Guanter, Luis, additional, Liu, Yin-Nian, additional, Varon, Daniel J., additional, Maasakkers, Joannes D., additional, Zhang, Yuzhong, additional, Chulakadabba, Apisada, additional, Wofsy, Steven C., additional, Thorpe, Andrew K., additional, Duren, Riley M., additional, Frankenberg, Christian, additional, Lyon, David, additional, Cusworth, Daniel H., additional, Zhang, Yongguang, additional, Segl, Karl, additional, Gorroño, Javier, additional, Sánchez-García, Elena, additional, Sulprizio, Melissa P., additional, Aben, Ilse, additional, and Jacob, Daniel J., additional

Published
2021
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13. The Advanced Hyperspectral Imager: Aboard China's GaoFen-5 Satellite

Author

Liu, Yin-Nian, primary, Zhang, Jing, additional, Zhang, Ying, additional, Sun, Wei-Wei, additional, Jiao, Lei-Lei, additional, Sun, De-Xin, additional, Hu, Xiao-Ning, additional, Ye, Xiang, additional, Li, Yun-Duan, additional, Liu, Shu-Feng, additional, Cao, Kai-Qin, additional, Chai, Meng-Yang, additional, and Zhou, Wei-Yi-Nuo, additional

Published
2019
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21. Driving techniques for high-frame-rate frame transfer CCDs with low smear

Author

陈剑武 Chen Jianwu, 刘银年 Liu Yin-nian, 曹开钦 Cao Kai-qin, and 孙德新 Sun De-xin

Subjects
Physics, Optics, Space and Planetary Science, business.industry, Transfer (computing), Frame (networking), Aerospace Engineering, Electrical and Electronic Engineering, High frame rate, business, Atomic and Molecular Physics, and Optics
Published
2016
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22. Airborne Hyperspectral and Infrared Remote Sensing Technology and Application

Author

Xue Yongqi, Wang Jianyu, Liu Yin-nian, Shu Rong, and Yang Yi-de

Subjects
medicine.medical_specialty, Remote sensing (archaeology), Infrared remote sensing, medicine, Hyperspectral imaging, Environmental science, Earth remote sensing, Field (geography), Remote sensing, Spectral imaging
Abstract

These instructions give you basic guidelines for preparing papers for conference proceedings. In China , the techonology of spectral information , especially the IR spectral information are attractive in airborne remote sensing field. The main recent progresses of some typical airborne spectral remote sensing systems are introduced in this article .

Published
2006
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