Acta Optica Sinica, Volume. 44, Issue 12, 1228008(2024)
Remote Sensing Monitoring Method of Ship Exhaust Based on Background Image Reconstruction
Fig. 2. Comparison of acquisition information field of view. (a) Schematic of the field of view of the information acquired by four-image method; (b) schematic of the field of view of the information acquired by image reconstruction method
Fig. 3. Self-developed experimental instrument for remote sensing monitoring of ship exhaust. (a) Field test site situation; (b) experimental prototype of ship exhaust imaging remote sensing monitoring system
Fig. 4. Geographic orientation map of the experimental site, where the dot indicates the target pollution source and the triangle represents the measurement location
Fig. 6. Background fitting process for image reconstruction method. (a) Original image; (b) plume characteristic rejection; (c) comparison of the actual signal strength with the fitting signal strength; (d) background image obtained by fitting
Fig. 7. SO2 column concentration inversion results of ship exhaust. (a) SO2 column concentration inversion results of four-image method; (b) vertical pixel intensities at different locations obtained by four-image method; (c) SO2 column concentration inversion results of image reconstruction method; (d) vertical pixel intensities at different locations obtained by image reconstruction method
Fig. 8. Comparison of three groups of SO2 column concentration inversion results. (a) SO2 column concentration inversion results of four-image method; (b) SO2 column concentration inversion results of image reconstruction method
Fig. 9. Comparison of sky background variation between image reconstruction method and traditional method
Fig. 10. Comparison of emission rates between four-image and image reconstruction methods
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Weiwei He, Haochen Yuan, Jianjun Guo, Zihao Zhang, Huiliang Zhang, Yikang Zhang, Wei Zhou, Kuijun Wu. Remote Sensing Monitoring Method of Ship Exhaust Based on Background Image Reconstruction[J]. Acta Optica Sinica, 2024, 44(12): 1228008
Category: Remote Sensing and Sensors
Received: Dec. 5, 2023
Accepted: Apr. 12, 2024
Published Online: Jun. 17, 2024
The Author Email: Wu Kuijun (wukuijun@ytu.edu.cn)
CSTR:32393.14.AOS231889