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Spectral Calibration for SO2 Cameras with Light Dilution Effect Correction 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 14
作者:  Wu, Kuijun;  Guo, Jianjun;  Zhang, Zihao;  Zhang, Huiliang;  Li, Juan;  Li, Faquan;  He, Weiwei
Adobe PDF(7046Kb)  |  收藏  |  浏览/下载：46/0  |  提交时间：2023/10/13
SO2 camera  calibration  light dilution  atmospheric scattering  emission rate  
Performance Assessment of Four Data-Driven Machine Learning Models: A Case to Generate Sentinel-2 Albedo at 10 Meters 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 10
作者:  Chen, Hao;  Lin, Xingwen;  Sun, Yibo;  Wen, Jianguang;  Wu, Xiaodan;  You, Dongqin;  Cheng, Juan;  Zhang, Zhenzhen;  Zhang, Zhaoyang;  Wu, Chaofan;  Zhang, Fei;  Yin, Kechen;  Jian, Huaxue;  Guan, Xinyu
Adobe PDF(13289Kb)  |  收藏  |  浏览/下载：47/0  |  提交时间：2023/07/03
Sentinel-2  albedo  data-driven machine learning algorithms  remote sensing  
Activities to Promote the Moon as an Absolute Calibration Reference 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 9
作者:  Jing, Zhenhua;  Hu, Xiuqing;  Wang, Yang;  Wu, Ronghua;  Chen, Lin;  Zhang, Lu;  Huang, Yu;  Wang, Shuang;  Li, Shuang;  Zhang, Peng
Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：83/0  |  提交时间：2023/06/12
lunar calibration  traceability  space radiometric measurement  Moon  small satellites constellations  remote sensing  
Unsupervised Transformer Boundary Autoencoder Network for Hyperspectral Image Change Detection 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 7
作者:  Liu, Song;  Li, Haiwei;  Wang, Feifei;  Chen, Junyu;  Zhang, Geng;  Song, Liyao;  Hu, Bingliang
Adobe PDF(5283Kb)  |  收藏  |  浏览/下载：76/0  |  提交时间：2023/05/06
autoencoder  boundary information  change detection  hyperspectral image  unsupervised  
Attention Network with Outdoor Illumination Variation Prior for Spectral Reconstruction from RGB Images 期刊论文
REMOTE SENSING, 2023, 卷号: 16, 期号: 1
作者:  Song, Liyao;  Li, Haiwei;  Liu, Song;  Chen, Junyu;  Fan, Jiancun;  Wang, Quan;  Chanussot, Jocelyn
Adobe PDF(22292Kb)  |  收藏  |  浏览/下载：40/0  |  提交时间：2024/02/23
hyperspectral reconstruction  illumination variation  attention network