Ying Li

According to our database, Ying Li authored at least 31 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LH-UNet: A Lighted Histoformer-Encoded U-Net for Sea Ice Recognition With High-Resolution Remote Sensing Images.

Zuomin Wang, Ying Li, Jiazhu Wang, Bingxin Liu

IEEE Geosci. Remote. Sens. Lett., 2025

A Two-Stage Oil Spill Detection Method Based on an Improved Superpixel Module and DeepLab V3+ Using SAR Images.

Lingxiao Cheng, Ying Li, Kangjia Zhao, Bingxin Liu, Yuanheng Sun

IEEE Geosci. Remote. Sens. Lett., 2025

LGT: Luminance-guided transformer-based multi-feature fusion network for underwater image enhancement.

Jiashuo Shang, Ying Li, Hu Xing, Jingyi Yuan

Inf. Fusion, 2025

2024

A transfer-learning-based windspeed estimation on the ocean surface: implication for the requirements on the spatial-spectral resolution of remote sensors.

Shuang Dong, Ying Li, Zhaoyi Zhang, Tao Gou, Ming Xie

Appl. Intell., September, 2024

IceRegionShip: Optical Remote Sensing Dataset for Ship Detection in Ice-Infested Waters.

Peilin Wang, Bingxin Liu, Ying Li, Peng Chen, Peng Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

SDFSD-v1.0: A Sub-Meter SAR Dataset for Fine-Grained Ship Detection.

Peixin Cai, Bingxin Liu, Peilin Wang, Peng Liu, Yu Yuan, Xinhao Li, Peng Chen, Ying Li

Remote. Sens., 2024

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, Zhaoxu Zhang, Ying Li

Remote. Sens., October, 2023

Energy-Based Unmixing Method for Low Background Concentration Oil Spills at Sea.

Huimin Lu, Ying Li, Bingxin Liu

Remote. Sens., April, 2023

A Novel Deep Learning Network with Deformable Convolution and Attention Mechanisms for Complex Scenes Ship Detection in SAR Images.

Peng Chen, Hui Zhou, Ying Li, Peng Liu, Bingxin Liu

Remote. Sens., 2023

2022

Rotation-Invariant Task-Aware Spatial Disentanglement in Rotated Ship Detection Based on the Three-Stage Method.

Tong Wang, Ying Li

IEEE Trans. Geosci. Remote. Sens., 2022

A Deep-Learning-Based Fusion Approach for Global Cyclone Detection Using Multiple Remote Sensing Data.

Ming Xie, Ying Li, Shuang Dong

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager.

Bingxin Liu, Yulong Du, Chengyu Liu, Ying Li

Sensors, 2022

Oil Spill Identification in Radar Images Using a Soft Attention Segmentation Model.

Peng Chen, Hui Zhou, Ying Li, Bingxin Liu, Peng Liu

Remote. Sens., 2022

Enhanced Task-Aware Spatial Disentanglement Head for Oil Tanks Detection in High-Resolution Optical Imagery.

Tong Wang, Ying Li

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Identifying Oil Spill Types Based on Remotely Sensed Reflectance Spectra and Multiple Machine Learning Algorithms.

Ying Li, Qinglai Yu, Ming Xie, Zhenduo Zhang, Zhanjun Ma, Kai Cao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Shape Similarity Intersection-Over-Union Loss Hybrid Model for Detection of Synthetic Aperture Radar Small Ship Objects in Complex Scenes.

Peng Chen, Hui Zhou, Ying Li, Bingxin Liu, Peng Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2019

Marine Oil Slick Detection Based on Multi-Polarimetric Features Matching Method Using Polarimetric Synthetic Aperture Radar Data.

Guannan Li, Ying Li, Bingxin Liu, Peng Wu, Chen Chen

Sensors, 2019

Estimating the Volume of Oil Tanks Based on High-Resolution Remote Sensing Images.

Tong Wang, Ying Li, Shengtao Yu, Yu Liu

Remote. Sens., 2019

Semi-Automatic Oil Spill Detection on X-Band Marine Radar Images Using Texture Analysis, Machine Learning, and Adaptive Thresholding.

Peng Liu, Ying Li, Bingxin Liu, Peng Chen, Jin Xu

Remote. Sens., 2019

Oil Film Classification Using Deep Learning-Based Hyperspectral Remote Sensing Technology.

Xueyuan Zhu, Ying Li, Qiang Zhang, Bingxin Liu

ISPRS Int. J. Geo Inf., 2019

A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill.

Bingxin Liu, Ying Li, Guannan Li, Anling Liu

ISPRS Int. J. Geo Inf., 2019

2018

Hyperspectral Features of Oil-Polluted Sea Ice and the Response to the Contamination Area Fraction.

Bingxin Liu, Ying Li, Chengyu Liu, Feng Xie, Jan-Peter Muller

Sensors, 2018

Design and Implementation of a Coastal-Mounted Sensor for Oil Film Detection on Seawater.

Yongchao Hou, Ying Li, Bingxin Liu, Yu Liu, Tong Wang

Sensors, 2018

Analysis of Scattering Properties of Continuous Slow-Release Slicks on the Sea Surface Based on Polarimetric Synthetic Aperture Radar.

Guannan Li, Ying Li, Bingxin Liu, Yongchao Hou, Jianchao Fan

ISPRS Int. J. Geo Inf., 2018

A Generalization of P-Linear Mixing Model by Combination of Two Kinds of Approximator in Hyperspectral Unmixing.

Huimin Lu, Ying Li, Feng Chen, Hui Zhou, Can Cui, Xueyuan Zhu

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments.

Peng Liu, Ying Li, Jin Xu, Xueyuan Zhu

Sensors, 2017

A New Endmember Preprocessing Method for the Hyperspectral Unmixing of Imagery Containing Marine Oil Spills.

Can Cui, Ying Li, Bingxin Liu, Guannan Li

ISPRS Int. J. Geo Inf., 2017

2015

Spectral characteristics analysis of oil film among sea ice.

Bingxin Liu, Wei-hua Zhu, Ying Li

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Oil spill information exaction by laser fluorescence.

Peng Chen, Ying Li, Bingxin Liu, Jin Xu

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2010

Digital image watermarking robust to geometric attacks based on wavelet domain.

Na Ma, Qiang Zhang, Ying Li

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

A stratified image-hiding method based on chaos.

Ying Li, Qiang Zhang, Na Ma

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010