UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images Journal article
Ye, Hailiang, Li, Hong, Yang, Bing, Cao, Feilong, Tang, Yuanyan. A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(7), 4457-4469.
Authors:  Ye, Hailiang;  Li, Hong;  Yang, Bing;  Cao, Feilong;  Tang, Yuanyan
Favorite | TC[WOS]:28 TC[Scopus]:29  IF:7.5/7.6 | Submit date:2022/05/17
Denoising  Hyperspectral Images (Hsis)  Low Rank  Remote Sensing  Smooth Approximation  
Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image Journal article
Li, Ailin, Qin, Anyong, Shang, Zhaowei, Tang, Yuan Yan. Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2019, 33(3).
Authors:  Li, Ailin;  Qin, Anyong;  Shang, Zhaowei;  Tang, Yuan Yan
Favorite | TC[WOS]:14 TC[Scopus]:12  IF:0.9/1.0 | Submit date:2022/04/15
3d Edge-preserving Filters (3d Epfs)  Hyperspectral Images (Hsis)  Intensity Differences  Sparse Subspace Clustering (Ssc)  
Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image Conference paper
Li A., Qin A., Hu S., Shang Z., Tang Y.Y.. Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image[C], 2018, 167-172.
Authors:  Li A.;  Qin A.;  Hu S.;  Shang Z.;  Tang Y.Y.
Favorite | TC[Scopus]:1 | Submit date:2019/02/11
3-d Edge-preserving Filters (3-d Epfs)  Hyperspectral Images (Hsis)  Intensity Differences  Sparse Subspace Clustering (Ssc)