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Methodology and Modeling of UAV Push-Broom Hyperspectral BRDF Observation Considering Illumination Correction 期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 3
作者:  Wang, Zhuo;  Li, Haiwei;  Wang, Shuang;  Song, Liyao;  Chen, Junyu
Adobe PDF(13548Kb)  |  收藏  |  浏览/下载：34/0  |  提交时间：2024/03/15
UAV  push-broom hyperspectral  BRDF model improvement  data coupling  illumination correction factor  
Improvement of the sediment flux estimation in the Yangtze River Estuary with a GOCI data adjusted numerical model 期刊论文
Ocean Modelling, 2023, 卷号: 186
作者:  Xie, Guohu;  Zhang, Yang;  Liu, Jia;  Xue, Huijie;  Ge, Jianzhong;  He, Xianqiang;  Ma, Wentao;  Chai, Fei
Adobe PDF(7878Kb)  |  收藏  |  浏览/下载：44/0  |  提交时间：2023/11/23
Sediment flux  Yangtze River Estuary  Geostationary Ocean Color Imager (GOCI)  Numerical model  Morphology  
A new Einstein coefficient method for mesopause–lower thermosphere atmosphere temperature retrieval under a non-local thermal equilibrium situation 期刊论文
Optics Express, 2023, 卷号: 31, 期号: 19, 页码: 30413-30434
作者:  Li, Haotian;  Feng, Yutao;  Li, Faquan;  Wang, Houmao;  Hu, Xiangrui;  He, Weiwei;  Wu, Kuijun
Adobe PDF(8436Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/10/26
Tensor Decomposition-Inspired Convolutional Autoencoders for Hyperspectral Anomaly Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 4990-5000
作者:  Sun, Bangyong;  Zhao, Zhe;  Liu, Di;  Gao, Xiaomei;  Yu, Tao
Adobe PDF(5267Kb)  |  收藏  |  浏览/下载：122/0  |  提交时间：2022/08/16
Anomaly detection  Hyperspectral imaging  Tensors  Detectors  Feature extraction  Training  Neural networks  Anomaly detection  hyperspectral image (HSI)  tensor decomposition network  
Multi-Level Alignment Network for Cross-Domain Ship Detection 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 10
作者:  Xu, Chujie;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(9450Kb)  |  收藏  |  浏览/下载：104/0  |  提交时间：2022/06/29
ship detection  domain adaptation  convolutional neural network  synthetic aperture radar  
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：178/4  |  提交时间：2022/03/09
Fourier transform imaging spectrometers (FTISs)  spectrum reconstruction (SpecR)  deep learning  U-Net  fully connected U-Net (FCUN)  
Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Yuan, Yuan;  Dong, Le;  Li, Xuelong
Adobe PDF(5662Kb)  |  收藏  |  浏览/下载：214/0  |  提交时间：2022/01/18
Tensors  TV  Hyperspectral imaging  Data models  Task analysis  Optimization  Data mining  Hyperspectral unmixing  low tensor rank  nonlocal similarity  nonnegative tensor factorization (NTF)  
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：101/1  |  提交时间：2022/05/07
change detection  hyperspectral image  kernel  spectral angle  
Deep Category-Level and Regularized Hashing With Global Semantic Similarity Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 12, 页码: 6240-6252
作者:  Chen, Yaxiong;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/01/26
Semantics  Binary codes  Image retrieval  Force  Machine learning  Cybernetics  Benchmark testing  Category-level semantics  deep feature similarity  deep hashing  image retrieval  
Difference curvature multidimensional network for hyperspectral image super-resolution 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 17
作者:  Zhang, Chi;  Zhang, Mingjin;  Li, Yunsong;  Gao, Xinbo;  Shi, Qiu
Adobe PDF(18175Kb)  |  收藏  |  浏览/下载：165/0  |  提交时间：2021/09/18
hyperspectral image  super-resolution  deep neural networks  difference curvature  attention