Artikel mit Open-Access-Mandaten - Jie ShanWeitere Informationen
Nicht verfügbar: 6
Automatic recognition of cloud images by using visual saliency features
X Hu, Y Wang, J Shan
IEEE Geoscience and Remote Sensing Letters 12 (8), 1760-1764, 2015
Mandate: National Natural Science Foundation of China
Urban hotspots detection of taxi stops with local maximum density
XJ Chen, Y Wang, J Xie, X Zhu, J Shan
Computers, environment and urban systems 89, 101661, 2021
Mandate: National Natural Science Foundation of China
Fast and robust structure-based multimodal geospatial image matching
Y Ye, L Bruzzone, J Shan, L Shen
2017 IEEE international geoscience and remote sensing symposium (IGARSS …, 2017
Mandate: National Natural Science Foundation of China
Numerical investigation of effects of “baffles-deceleration strip” hybrid system on rock avalanches
Y Bi, S He, Y Du, J Shan, S Yan, D Wang, X Sun
Journal of Mountain Science 16 (2), 414-427, 2019
Mandate: National Natural Science Foundation of China
An initial study on college students' daily activities using GPS trajectories
Y Wang, C Huang, J Shan
2015 23rd International Conference on Geoinformatics, 1-6, 2015
Mandate: National Natural Science Foundation of China
Technical evaluation for mashing up crowdsourcing images
C Xie, Z Zhang, J Shan
2015 23rd International Conference on Geoinformatics, 1-6, 2015
Mandate: National Natural Science Foundation of China
Verfügbar: 46
Graph attention convolution for point cloud semantic segmentation
L Wang, Y Huang, Y Hou, S Zhang, J Shan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Mandate: National Natural Science Foundation of China
Robust registration of multimodal remote sensing images based on structural similarity
Y Ye, J Shan, L Bruzzone, L Shen
IEEE Transactions on Geoscience and Remote Sensing 55 (5), 2941-2958, 2017
Mandate: National Natural Science Foundation of China
Fast and robust matching for multimodal remote sensing image registration
Y Ye, L Bruzzone, J Shan, F Bovolo, Q Zhu
IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9059-9070, 2019
Mandate: National Natural Science Foundation of China
Investigation on the weighted ransac approaches for building roof plane segmentation from lidar point clouds
B Xu, W Jiang, J Shan, J Zhang, L Li
Remote Sensing 8 (1), 5, 2015
Mandate: National Natural Science Foundation of China
A hybrid approach for detecting corn and soybean phenology with time-series MODIS data
L Zeng, BD Wardlow, R Wang, J Shan, T Tadesse, MJ Hayes, D Li
Remote Sensing of Environment 181, 237-250, 2016
Mandate: National Natural Science Foundation of China
A local phase based invariant feature for remote sensing image matching
Y Ye, J Shan, S Hao, L Bruzzone, Y Qin
ISPRS Journal of Photogrammetry and Remote Sensing 142, 205-221, 2018
Mandate: National Natural Science Foundation of China
Evaluation of recently released open global digital elevation models of Hubei, China
Z Hu, J Peng, Y Hou, J Shan
Remote Sensing 9 (3), 262, 2017
Mandate: National Natural Science Foundation of China
An exploratory analysis on the evolution of the US airport network
T Jia, K Qin, J Shan
Physica A: Statistical Mechanics and its Applications 413, 266-279, 2014
Mandate: National Natural Science Foundation of China
A global optimization approach to roof segmentation from airborne lidar point clouds
J Yan, J Shan, W Jiang
ISPRS journal of photogrammetry and remote sensing 94, 183-193, 2014
Mandate: National Natural Science Foundation of China
Urban road network expansion and its driving variables: a case study of Nanjing City
G Shi, J Shan, L Ding, P Ye, Y Li, N Jiang
International journal of environmental research and public health 16 (13), 2318, 2019
Mandate: National Natural Science Foundation of China
Comprehensive evaluation of the ICESat-2 ATL08 terrain product
X Tian, J Shan
IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8195-8209, 2021
Mandate: US National Oceanic and Atmospheric Administration
Panoramic SLAM from a multiple fisheye camera rig
S Ji, Z Qin, J Shan, M Lu
ISPRS Journal of Photogrammetry and Remote Sensing 159, 169-183, 2020
Mandate: National Natural Science Foundation of China
Line-based registration of panoramic images and LiDAR point clouds for mobile mapping
T Cui, S Ji, J Shan, J Gong, K Liu
Sensors 17 (1), 70, 2017
Mandate: National Natural Science Foundation of China
MSNet: Multi-scale convolutional network for point cloud classification
L Wang, Y Huang, J Shan, L He
Remote Sensing 10 (4), 612, 2018
Mandate: National Natural Science Foundation of China
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