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Ji Qi
Ji Qi
Bestätigte E-Mail-Adresse bei csu.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
Avoiding negative transfer for semantic segmentation of remote sensing images
H Wang, C Tao, J Qi, R Xiao, H Li
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
1382022
Remote sensing image scene classification with self-supervised paradigm under limited labeled samples
C Tao, J Qi, W Lu, H Wang, H Li
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
1292020
Spatial information inference net: Road extraction using road-specific contextual information
C Tao, J Qi, Y Li, H Wang, H Li
ISPRS Journal of Photogrammetry and Remote Sensing 158, 155-166, 2019
1122019
A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data
W Lu, C Tao, H Li, J Qi, Y Li
Remote Sensing of Environment 270, 112830, 2022
822022
Self-supervised remote sensing feature learning: Learning paradigms, challenges, and future works
C Tao, J Qi, M Guo, Q Zhu, H Li
IEEE Transactions on Geoscience and Remote Sensing 61, 1-26, 2023
532023
Semisupervised variational generative adversarial networks for hyperspectral image classification
C Tao, H Wang, J Qi, H Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
482020
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning
C Tao, J Qi, G Zhang, Q Zhu, W Lu, H Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023
402023
Scene context-driven vehicle detection in high-resolution aerial images
C Tao, L Mi, Y Li, J Qi, Y Xiao, J Zhang
IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7339-7351, 2019
402019
Thick cloud removal in optical remote sensing images using a texture complexity guided self-paced learning method
C Tao, S Fu, J Qi, H Li
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
222022
Spatial information considered network for scene classification
C Tao, W Lu, J Qi, H Wang
IEEE Geoscience and Remote Sensing Letters 18 (6), 984-988, 2020
222020
Cross-sensor remote-sensing images scene understanding based on transfer learning between heterogeneous networks
Y Wang, R Xiao, J Qi, C Tao
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
132021
Combined Model Color-Correction Method Utilizing External Low-Frequency Reference Signals for Large-Scale Optical Satellite Image Mosaics.
H Cui, G Zhang, T Wang, X Li, J Qi
IEEE Trans. Geosci. Remote. Sens. 59 (6), 4993-5007, 2021
132021
Semi-supervised convolutional long short-term memory neural networks for time series land cover classification
J Shen, C Tao, J Qi, H Wang
Remote Sensing 13 (17), 3504, 2021
92021
A General Transitive Transfer Learning Framework for Cross-Optical Sensor Remote Sensing Image Scene Understanding
C Tao, R Xiao, Y Wang, J Qi, H Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023
72023
Urban functional zone classification based on self-supervised learning: A case study in Beijing, China
W Lu, J Qi, H Feng
Frontiers in Environmental Science 10, 1010630, 2022
52022
MDANet: unsupervised, mixed-domain adaptation for semantic segmentation of remote sensing images
H Cui, G Zhang, J Qi, H Li, C Tao, X Li, S Hou, D Li
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
32022
RiSSNet: Contrastive Learning Network with a Relaxed Identity Sampling Strategy for Remote Sensing Image Semantic Segmentation
H Li, W Jing, G Wei, K Wu, M Su, L Liu, H Wu, P Li, J Qi
Remote Sensing 15 (13), 3427, 2023
12023
Weakly Supervised Framework Considering Multi-temporal Information for Large-scale Cropland Mapping with Satellite Imagery
Y Wang, A Hu, J Qi, Y Liu, C Tao
arXiv preprint arXiv:2411.18475, 2024
2024
CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation
M Zhang, X Gu, J Qi, Z Zhang, H Yang, J Xu, C Peng, H Li
Remote Sensing 16 (7), 1293, 2024
2024
Urban remote sensing image scene classification method in consideration of spatial relationships
C Tao, W Lu, J Qi, H Li
US Patent 11,710,307, 2023
2023
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