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Multi-Prior Graph Autoencoder with Ranking-Based Band Selection for Hyperspectral Anomaly Detection 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 18
作者:  Wang, Nan;  Shi, Yuetian;  Li, Haiwei;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(4511Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/10/27
hyperspectral anomaly detection  deep learning  band selection  autoencoder  
Prior-based collaborative representation with global adaptive weight for hyperspectral anomaly detection 期刊论文
Journal of Applied Remote Sensing, 2023, 卷号: 17, 期号: 3
作者:  Wang, Nan;  Shi, Yuetian;  Cheng, Yinzhu;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(3120Kb)  |  收藏  |  浏览/下载：46/0  |  提交时间：2023/10/30
anomaly detection  hyperspectral imagery  remote sensing  collaborative representation  
Adaptive convolution kernel network for change detection in hyperspectral images 期刊论文
APPLIED OPTICS, 2023, 卷号: 62, 期号: 8, 页码: 2039-2047
作者:  Liu, Song;  Li, Haiwei;  Chen, Junyu;  Li, Siyuan;  Song, Liyao;  Zhang, Geng;  Hu, Bingliang
Adobe PDF(18855Kb)  |  收藏  |  浏览/下载：40/0  |  提交时间：2023/08/28
Collaborative representation with multipurification processing and local salient weight for hyperspectral anomaly detection 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2022, 卷号: 16, 期号: 3
作者:  Wang, Nan;  Shi, Yuetian;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：123/0  |  提交时间：2022/11/11
anomaly detection  hyperspectral imagery  remote sensing  collaborative representation  
Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 4
作者:  Chen, Tieqiao;  Su, Xiuqin;  Li, Haiwei;  Li, Siyuan;  Liu, Jia;  Zhang, Geng;  Feng, Xiangpeng;  Wang, Shuang;  Liu, Xuebin;  Wang, Yihao;  Zou, Chunbo
Adobe PDF(10978Kb)  |  收藏  |  浏览/下载：174/4  |  提交时间：2022/03/09
Fourier transform imaging spectrometers (FTISs)  spectrum reconstruction (SpecR)  deep learning  U-Net  fully connected U-Net (FCUN)  
Synthetic aircraft RS image modelling based on improved conditional GAN joint embedding network 期刊论文
SCIENTIFIC REPORTS, 2022, 卷号: 12, 期号: 1
作者:  Chen, Junyu;  Li, Haiwei;  Song, Liyao;  Zhang, Geng;  Hu, Bingliang;  Wang, Shuang;  Liu, Song;  Li, Siyuan;  Chen, Tieqiao;  Liu, Jia
Adobe PDF(3786Kb)  |  收藏  |  浏览/下载：187/2  |  提交时间：2022/02/14
A New Method for Direct Measurement of Polarization Characteristics of Water-Leaving Radiation 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Liu, Jia;  Jia, Xinyin;  He, Xianqiang;  Wang, Yihao;  Zhu, Qiankun;  Li, Haiwei;  Zou, Chunbo;  Chen, Tieqiao;  Feng, Xiangpeng;  Zhang, Geng;  Li, Siyuan;  Hu, Bingliang;  Pan, Delu
Adobe PDF(17899Kb)  |  收藏  |  浏览/下载：124/4  |  提交时间：2022/03/25
Field instrument  polarization  polarization-based algorithm  radiative transfer (RT) simulations  water-leaving radiance  
Spatial weighted kernel spectral angle constraint method for hyperspectral change detection 期刊论文
Journal of Applied Remote Sensing, 2022, 卷号: 16, 期号: 1
作者:  Liu, Song;  Song, Liyao;  Li, Haiwei;  Chen, Junyu;  Zhang, Geng;  Hu, Bingliang;  Wang, Shuang;  Li, Siyuan
Adobe PDF(3507Kb)  |  收藏  |  浏览/下载：96/1  |  提交时间：2022/05/07
change detection  hyperspectral image  kernel  spectral angle  
Expanded Edge Penalty Loss for Salient Object Detection 会议论文
2021 4th International Conference on Information Communication and Signal Processing, ICICSP 2021, Shanghai, China, 2021-09-24
作者:  Wang, Nan;  Shi, Yuetian;  Fang, Jie;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(860Kb)  |  收藏  |  浏览/下载：110/0  |  提交时间：2022/02/10
RGB images  Salient object detection  coarse object boundaries  expanded edge penalty loss  
Multispectral Images Deblurring via Interchannel Correlation Relationship 会议论文
2021 4th International Conference on Information Communication and Signal Processing, ICICSP 2021, Shanghai, China, 2021-09-24
作者:  Shi, Yuetian;  Wang, Nan;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(932Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/02/10
multispectral images  degraded images  deblurring  interchannel correlation relationship