Acta Optica Sinica (Online), Volume. 2, Issue 15, 1514002(2025)
Oil Spill Detection Methods on Water Surface Based on Multi-Dimension Optical Remote Sensing Imaging
Fig. 1. Imaging results of each channel camera under strong light scenarios compared with ground truth. (a) Visible RGB and visible polarization channels; (b) NIR channel; (c) LWIR channel
Fig. 2. Imaging quality comparison of multi-channel cameras in strong light scenarios. (a1)‒(a6) Color of oil spill is similar to that of water; (b1)‒(b6) oil spills have thickness differences
Fig. 3. Imaging results of each channel camera under low light scenarios compared with ground truth. (a) Visible RGB and visible polarization channels; (b) NIR channel; (c) LWIR channel
Fig. 4. Imaging quality comparison of multi-channel cameras in low light scenarios. (a1)‒(a6) With radiator interference on the water surface; (b1)‒(b6) without interference on the water surface
Fig. 5. Imaging results of each channel camera under sun glint scenarios compared with ground truth. (a) Visible RGB and visible polarization channels; (b) NIR channel; (c) LWIR channel
Fig. 6. Imaging quality comparison of multi-channel cameras in sun glint scenarios. (a1)‒(a6) Observation results of oil spills in overexposed areas near sun glint; (b1)‒(b6) observation results of large-area spotted sun glint on the water surface
Fig. 7. Information entropy comparison of cameras across channels in various scenarios
Fig. 8. Strong edge width comparison of cameras across channels in various scenarios
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Suyao Jiang, Xuancheng Peng, Huanyu Zhou, Dazhao Zhang, Xi Liang, Danhua Cao, Zhenyu Yang, Ming Zhao. Oil Spill Detection Methods on Water Surface Based on Multi-Dimension Optical Remote Sensing Imaging[J]. Acta Optica Sinica (Online), 2025, 2(15): 1514002
Category: Applied Optics and Optical Instruments
Received: Jun. 20, 2025
Accepted: Jul. 7, 2025
Published Online: Aug. 7, 2025
The Author Email: Ming Zhao (zhaoming@hust.edu.cn)
CSTR:32394.14.AOSOL250482