School of Remote Sensing and Information Engineering, Wuhan University
Location: Building 5-Room 426, Luoyu Road #129, Hongshan District, Wuhan, Hubei, China
Email: ljy_whu_2012@whu.edu.cn (prior); 397744657@qq.com
[Google Scholar]
[GitHub]
[ResearchGate]
[武大个人主页]
[研究团队主页]
I work in the field of photogrammetry, geometric computer vision, remote sensing image processing and deep learning theory. Currently, I focus on the following research topics:
Robust estimation theory and its applications in remote sensing and robot vision
W Xu, X Yuan, Q Hu, J. Li,
“SAR-Optical Feature Matching: A Large-scale Patch Dataset and A Deep Local Descriptor,”
submitted, 2022.
[PDF] [Code]
P Shi, J. Li, Y Zhang,
“A Super-Fast Map-Aided Approach for 3d Place Recognition and Localization,”
submitted, 2022.
[PDF] [Code]
J. Li, P Shi, Q Hu, Y Zhang,
“QGORE: Quadratic-time Guaranteed Outlier Removal for Point Cloud Registration,”
submitted, 2022.
[PDF] [Code]
J. Li, W Xu, Q Hu, Y Zhang,
“RIFT2: Speeding-up RIFT with A New Rotation-Invariance Technique,”
submitted, 2022.
[PDF]
[Code]
J. Li, W Xu, P Shi, Y Zhang, Q Hu,
“LNIFT: Locally Normalized Image for Rotation Invariant Multimodal Feature Matching,”
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022.
[PDF]
[Code]
J. Li, Q Hu, Y Zhang, M Ai,
“Robust symmetric iterative closest point,”
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS JP&RS), 2022.
[PDF]
[Code]
Y Yao, Y Zhang, Y Wan, X Liu, X Yan, J. Li
“Multi-Modal Remote Sensing Image Matching Considering Co-Occurrence Filter,”
IEEE Transactions on Image Processing (IEEE TIP), 2022.
[PDF]
J. Li, M Ai, S Wang, and Q Hu
“GRF: guided residual fusion for pansharpening,”
International Journal of Remote Sensing (IJRS), 2022.
[PDF]
2021:
J Zhang, Q Hu, Y Li, H Li, and J. Li,
“Area, lake-level and volume variations of typical lakes on the Tibetan Plateau and their response to climate change, 1972–2019,”
Geo-spatial Information Science, 2021.
[PDF]
J. Li, Q. Hu, M. Ai, and S. Wang
“A geometric estimation technique based on adaptive M-estimators: Algorithm and applications,”
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2021.
[PDF]
J. Li, Y. Zhang, and Q. Hu,
“ROBUST ESTIMATION IN ROBOT VISION AND PHOTOGRAMMETRY: A NEW MODEL AND ITS APPLICATIONS,”
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences (Best paper award) ,
2021.
[PDF]
J. Li,
“A Practical $O(N^2)$ Outlier Removal Method for Point Cloud Registration,”
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021. (IF: 24.314)
[PDF] [Code]
J. Li, Q. Hu, and M. Ai,
“Point Cloud Registration Based on One-Point RANSAC and Scale-Annealing Biweight Estimation,”
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2021.
[PDF]
[Code]
2020:
J. Zhang, Q. Hu, J. Li and M. Ai,
“Learning From GPS Trajectories of Floating Car for CNN-Based Urban Road Extraction With High-Resolution Satellite Imagery,”
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020.
[PDF]
J. Li, Q. Hu, and M. Ai,
“GESAC: Robust graph enhanced sample consensus for point cloud registration,”
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS),
2020.
[PDF]
[Code]
J. Li, Q. Hu, and M. Ai,
“Robust Geometric Model Estimation Based on Scaled Welsch q-Norm,”
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020.
[PDF]
J. Li, Q. Hu, and M. Ai,
“RIFT: Multi-modal image matching based on radiation-variation insensitive feature transform,”
IEEE Transactions on Image Processing (IEEE TIP),
2020.
[PDF]
[Code]
J. Li, P. Zhao, Q. Hu, and M. Ai,
“Robust point cloud registration based on topological graph and Cauchy weighted lq-norm,”
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS),
2020.
[PDF]
2019:
J. Li, Q. Hu, and M. Ai,
“LAM: Locality affine-invariant feature matching,”
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2019.
[PDF]
[Code]
J. Li, Q. Hu, and M. Ai,
“Haze and thin cloud removal via sphere model improved dark channel prior,”
IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 2019.
[PDF]
[Code]
2018:
J. Li, Q. Hu, and M. Ai,
“Unsupervised road extraction via a Gaussian mixture model with object-based features,”
International Journal of Remote Sensing (IJRS), 2018.
[PDF]
J. Li, Q. Hu, and M. Ai,
“Multispectral and panchromatic image fusion based on spatial consistency,”
International Journal of Remote Sensing (IJRS), 2018.
[PDF]
2017:
J. Li, Q. Hu, and M. Ai,
“Robust feature matching via support-line voting and affine-invariant ratios,”
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2017.
[PDF]
J. Li, Q. Hu, and M. Ai,
“4FP-structure: A robust local region feature descriptor,”
Photogrammetric Engineering & Remote Sensing (PE&RS), 2017. (Best paper award)
[PDF]
[Binary code]
J. Li, Q. Hu, and M. Ai,
“Optimal illumination and color consistency for optical remote-sensing image mosaicking,”
IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 2017.
[PDF]
[Code]
J. Li, Q. Hu, and M. Ai,
“Robust feature matching for geospatial images via an affine‐invariant coordinate system,”
The Photogrammetric Record, 2017.
[PDF]
[Code]
J. Li, Q. Hu, and M. Ai,
“Exterior orientation revisited: A robust method based on lq-norm,”
Photogrammetric Engineering & Remote Sensing (PE&RS), 2017.
[PDF]
[Code]
2016:
J. Li, Q. Hu, and M. Ai,
“Robust feature matching for remote sensing image registration based on $ L_ {q} $-estimator,”
IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 2016.
[PDF]
[Code]
J. Li, R. Zhong, Q. Hu, and M. Ai,
“Feature-based laser scan matching and its application for indoor mapping,”
Sensors, 2016.
[PDF]
J. Li, Q. Hu, and M. Ai,
“Joint model and observation cues for single-image shadow detection,”
Remote Sensing, 2016.
[PDF]