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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：103/1  |  提交时间：2023/10/27
hyperspectral anomaly detection  deep learning  band selection  autoencoder  
Dynamic space-time dark level correction approach for lunar radiometric calibration of the Lunar Observation Imaging Spectrometer 期刊论文
APPLIED OPTICS, 2023, 卷号: 62, 期号: 5, 页码: 1193-1199
作者:  An, Lingping;  Wang, Yihao;  Zhao, Hang;  Yu, Can;  Wang, Yanheng;  Wang, Shuang;  Liu, Xuebin
Adobe PDF(13696Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2023/04/04
Simulation of Mesosphere Wind Measurement with Multiple Emission Lines of the O-2(0-1) Band Using Space-Based Doppler Asymmetric Spatial Heterodyne 期刊论文
ATMOSPHERE, 2022, 卷号: 13, 期号: 8
作者:  Fu, Di;  Zhao, Hengxiang;  Li, Juan;  Wu, Kuijun;  Chang, Chenguang;  Bai, Lu;  Feng, Yutao;  Liu, Xuebin
Adobe PDF(5509Kb)  |  收藏  |  浏览/下载：230/0  |  提交时间：2022/10/09
space-based wind measurement  mesosphere  Doppler Asymmetric Spatial Heterodyne (DASH)  multiple emission lines measurement  observation simulation  error analysis  
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：179/1  |  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：224/5  |  提交时间：2022/03/09
Fourier transform imaging spectrometers (FTISs)  spectrum reconstruction (SpecR)  deep learning  U-Net  fully connected U-Net (FCUN)