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Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network Other
2023-01-01
Authors:  Wu, Jie;  Cong, Runmin;  Fang, Leyuan;  Guo, Chunle;  Zhang, Bob; et al.
Favorite | TC[WOS]:5 TC[Scopus]:4 | Submit date：2023/02/08
Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network Journal article
Wu, Jie, Cong, Runmin, Fang, Leyuan, Guo, Chunle, Zhang, Bob, Ghamisi, Pedram. Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network[J]. Science China Information Sciences, 2023, 66(1).
Authors:  Wu, Jie;  Cong, Runmin;  Fang, Leyuan;  Guo, Chunle;  Zhang, Bob; et al.
Favorite | TC[WOS]:5 TC[Scopus]:4  IF:7.3/5.8 | Submit date：2024/01/10
Normal Assisted Pixel-Visibility Learning with Cost Aggregation for Multiview Stereo Journal article
Tong, Wei, Guan, Xiaorong, Kang, Jian, Sun, Poly Z.H., Law, Rob, Ghamisi, Pedram, Wu, Edmond Q.. Normal Assisted Pixel-Visibility Learning with Cost Aggregation for Multiview Stereo[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(12), 24686-24697.
Authors:  Tong, Wei;  Guan, Xiaorong;  Kang, Jian;  Sun, Poly Z.H.;  Law, Rob; et al.
Favorite | TC[WOS]:10 TC[Scopus]:8  IF:7.9/8.3 | Submit date：2023/01/30
Cost Aggregation  Depth Estimation  Multi-view Stereo  Pixel Visibility  Surface Normal  
Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images Journal article
Wu, Linshan, Fang, Leyuan, Yue, Jun, Zhang, Bob, Ghamisi, Pedram, He, Min. Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images[J]. IEEE Transactions on Image Processing, 2022, 31, 7419-7434.
Authors:  Wu, Linshan;  Fang, Leyuan;  Yue, Jun;  Zhang, Bob;  Ghamisi, Pedram; et al.
Favorite | TC[WOS]:41 TC[Scopus]:42  IF:10.8/12.1 | Submit date：2023/01/30
Bilateral Filtering  Point Annotations  Remote Sensing  Semantic Segmentation  Weakly-supervised Learning  
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote-Sensing Imagery Journal article
Lu, Ming, Fang, Leyuan, Li, Muxing, Zhang, Bob, Zhang, Yi, Ghamisi, Pedram. NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote-Sensing Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
Authors:  Lu, Ming;  Fang, Leyuan;  Li, Muxing;  Zhang, Bob;  Zhang, Yi; et al.
Favorite | TC[WOS]:25 TC[Scopus]:36  IF:7.5/7.6 | Submit date：2022/05/17
Convolutional Neural Network (Cnn)  Deep Learning  Semantic Segmentation  Water Extraction  Weak Supervision