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Yingcheng Lu

Showing results (1-10 of 17) with videos related to

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Marine Pollution Bulletin|April 23, 2022
Optical quantification of oil emulsions in multi-band coarse-resolution imagery using a lab-derived HSV modelJunnan Jiao, Yingcheng Lu, Yongxue Liu
Optics Express|September 15, 2023
Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood differenceXiaobo Zhu, Yingcheng Lu, Changyong Dou, et al.
Optics Express|November 29, 2012
An optical remote sensing model for estimating oil slick thickness based on two-beam interference theoryYingcheng Lu, Xiang Li, Qingjiu Tian, et al.
Optics Letters|September 16, 2015
Paths correlation matrixWeixian Qian, Xiaojun Zhou, Yingcheng Lu, et al.
Marine Pollution Bulletin|May 2, 2022
A novel deep learning method for marine oil spill detection from satellite synthetic aperture radar imageryXudong Huang, Biao Zhang, William Perrie, et al.
Optics Express|September 15, 2023
Effect of viewing angle difference on spaceborne optical estimation of floating <i>Ulva prolifera</i> biomass in the Yellow SeaJun Tang, Junnan Jiao, Ziyi Suo, et al.
Applied Optics|February 7, 2013
Analyzing the effects of particle size on remotely sensed spectra: a study on optical properties and spectral similarity scale of suspended particulate matters in waterYingcheng Lu, Guang Zheng, Qingjiu Tian, et al.
Science (New York, N.Y.)|June 16, 2022
Chronic oiling in global oceansYanzhu Dong, Yongxue Liu, Chuanmin Hu, et al.
Optics Letters|April 1, 2025
Optical identification of marine floating debris from Sentinel-2 MSI imagery using radiation signal differenceXiaoBo Zhu, YingCheng Lu, YanLong Chen, et al.
Optics Express|June 30, 2019
Uncertainty in the optical remote estimation of the biomass of Ulva prolifera macroalgae using MODIS imagery in the Yellow SeaTing Lu, Yingcheng Lu, Lianbo Hu, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Marine Pollution Bulletin|April 23, 2022
Optical quantification of oil emulsions in multi-band coarse-resolution imagery using a lab-derived HSV modelJunnan Jiao, Yingcheng Lu, Yongxue Liu
Optics Express|September 15, 2023
Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood differenceXiaobo Zhu, Yingcheng Lu, Changyong Dou, et al.
Optics Express|November 29, 2012
An optical remote sensing model for estimating oil slick thickness based on two-beam interference theoryYingcheng Lu, Xiang Li, Qingjiu Tian, et al.
Optics Letters|September 16, 2015
Paths correlation matrixWeixian Qian, Xiaojun Zhou, Yingcheng Lu, et al.
Marine Pollution Bulletin|May 2, 2022
A novel deep learning method for marine oil spill detection from satellite synthetic aperture radar imageryXudong Huang, Biao Zhang, William Perrie, et al.
Optics Express|September 15, 2023
Effect of viewing angle difference on spaceborne optical estimation of floating <i>Ulva prolifera</i> biomass in the Yellow SeaJun Tang, Junnan Jiao, Ziyi Suo, et al.
Applied Optics|February 7, 2013
Analyzing the effects of particle size on remotely sensed spectra: a study on optical properties and spectral similarity scale of suspended particulate matters in waterYingcheng Lu, Guang Zheng, Qingjiu Tian, et al.
Science (New York, N.Y.)|June 16, 2022
Chronic oiling in global oceansYanzhu Dong, Yongxue Liu, Chuanmin Hu, et al.
Optics Letters|April 1, 2025
Optical identification of marine floating debris from Sentinel-2 MSI imagery using radiation signal differenceXiaoBo Zhu, YingCheng Lu, YanLong Chen, et al.
Optics Express|June 30, 2019
Uncertainty in the optical remote estimation of the biomass of Ulva prolifera macroalgae using MODIS imagery in the Yellow SeaTing Lu, Yingcheng Lu, Lianbo Hu, et al.
Pageof 2