Oil spill information exaction by laser fluorescence. - Peng Chen 036; Ying Li 043; Bingxin Liu 004; Jin Xu 007 (IGARSS, 2014)

Design and Implementation of Urban Construction Geographic Information System. - Jin Xu 007; Lihui Qian 002; Nuochen Liu; Long Ma; Xiaofei Yan; Bingxin Liu 004 (FCST, 2015)

Spectral characteristics analysis of oil film among sea ice. - Bingxin Liu 004; Wei-hua Zhu; Ying Li 043 (IGARSS, 2015)

A New Endmember Preprocessing Method for the Hyperspectral Unmixing of Imagery Containing Marine Oil Spills. - Can Cui 003; Ying Li 043; Bingxin Liu 004; Guannan Li (ISPRS Int. J. Geo Inf., 2017)

Analysis of Scattering Properties of Continuous Slow-Release Slicks on the Sea Surface Based on Polarimetric Synthetic Aperture Radar. - Guannan Li; Ying Li 043; Bingxin Liu 004; Yongchao Hou; Jianchao Fan (ISPRS Int. J. Geo Inf., 2018)

Design and Implementation of a Coastal-Mounted Sensor for Oil Film Detection on Seawater. - Yongchao Hou; Ying Li 043; Bingxin Liu 004; Yu Liu; Tong Wang 020 (Sensors, 2018)

Hyperspectral Features of Oil-Polluted Sea Ice and the Response to the Contamination Area Fraction. - Bingxin Liu 004; Ying Li 043; Chengyu Liu; Feng Xie; Jan-Peter Muller (Sensors, 2018)

A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill. - Bingxin Liu 004; Ying Li 043; Guannan Li; Anling Liu (ISPRS Int. J. Geo Inf., 2019)

Oil Film Classification Using Deep Learning-Based Hyperspectral Remote Sensing Technology. - Xueyuan Zhu; Ying Li 043; Qiang Zhang 008; Bingxin Liu 004 (ISPRS Int. J. Geo Inf., 2019)

Semi-Automatic Oil Spill Detection on X-Band Marine Radar Images Using Texture Analysis, Machine Learning, and Adaptive Thresholding. - Peng Liu; Ying Li 043; Bingxin Liu 004; Peng Chen 036; Jin Xu 007 (Remote. Sens., 2019)

Marine Oil Slick Detection Based on Multi-Polarimetric Features Matching Method Using Polarimetric Synthetic Aperture Radar Data. - Guannan Li; Ying Li 043; Bingxin Liu 004; Peng Wu; Chen Chen (Sensors, 2019)

Shape Similarity Intersection-Over-Union Loss Hybrid Model for Detection of Synthetic Aperture Radar Small Ship Objects in Complex Scenes. - Peng Chen 036; Hui Zhou; Ying Li 043; Bingxin Liu 004; Peng Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Oil Spill Identification in Radar Images Using a Soft Attention Segmentation Model. - Peng Chen 036; Hui Zhou; Ying Li 043; Bingxin Liu 004; Peng Liu (Remote. Sens., 2022)

A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager. - Bingxin Liu 004; Yulong Du; Chengyu Liu; Ying Li 043 (Sensors, 2022)

A Novel Deep Learning Network with Deformable Convolution and Attention Mechanisms for Complex Scenes Ship Detection in SAR Images. - Peng Chen 036; Hui Zhou; Ying Li 043; Peng Liu; Bingxin Liu 004 (Remote. Sens., 2023)

Energy-Based Unmixing Method for Low Background Concentration Oil Spills at Sea. - Huimin Lu 005; Ying Li 043; Bingxin Liu 004 (Remote. Sens., 2023)

Continuity of Top-of-Atmosphere, Surface, and Nadir BRDF-Adjusted Reflectance and NDVI between Landsat-8 and Landsat-9 OLI over China Landscape. - Yuanheng Sun; Binyu Wang; Senlin Teng; Bingxin Liu 004; Zhaoxu Zhang; Ying Li 043 (Remote. Sens., 2023)

SDFSD-v1.0: A Sub-Meter SAR Dataset for Fine-Grained Ship Detection. - Peixin Cai; Bingxin Liu 004; Peilin Wang; Peng Liu; Yu Yuan; Xinhao Li; Peng Chen 036; Ying Li 043 (Remote. Sens., 2024)

IceRegionShip: Optical Remote Sensing Dataset for Ship Detection in Ice-Infested Waters. - Peilin Wang; Bingxin Liu 004; Ying Li 043; Peng Chen 036; Peng Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Two-Stage Oil Spill Detection Method Based on an Improved Superpixel Module and DeepLab V3+ Using SAR Images. - Lingxiao Cheng; Ying Li 043; Kangjia Zhao; Bingxin Liu 004; Yuanheng Sun (IEEE Geosci. Remote. Sens. Lett., 2025)

LH-UNet: A Lighted Histoformer-Encoded U-Net for Sea Ice Recognition With High-Resolution Remote Sensing Images. - Zuomin Wang; Ying Li 043; Jiazhu Wang; Bingxin Liu 004 (IEEE Geosci. Remote. Sens. Lett., 2025)