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浏览/检索结果: 共106条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Compressed Spectrum Reconstruction Method Based on Coding Feature Vector Enhancement 期刊论文  OAI收割 IEEE Transactions on Geoscience and Remote Sensing, 2024, 卷号: 62, 页码: 1-16 作者:  Cao, Chipeng;  Li, Jie;  Wang, Pan;  Qi, Chun   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/02/07 Compressed spectral imaging  encoding feature reconstruction  prior spectral data  vector enhancement   Building Change Detection with Deep Learning by Fusing Spectral and Texture Features of Multisource Remote Sensing Images: A GF-1 and Sentinel 2B Data Case 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 9, 页码: 2351 作者:  Fan, Junfu;  Zhang, Mengzhen;  Chen, Jiahao;  Zuo, Jiwei;  Shi, Zongwen   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/07/14 building change detection  deep learning  high-resolution  multispectral  multisource spectral data   Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13 作者:  Zhang, Huanyu;  Tang, Bo-Hui   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/09/21 All-sky conditions  data-driven  Meteosat Second Generation (MSG)  random forest (RF)  spectral transformation  surface upward longwave radiation (SULR)   Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13 作者:  Zhang, Huanyu;  Tang, Bo-Hui   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/09/21 All-sky conditions  data-driven  Meteosat Second Generation (MSG)  random forest (RF)  spectral transformation  surface upward longwave radiation (SULR)   An efficient Nystrom spectral clustering algorithm using incomplete Cholesky decomposition 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 186, 页码: 11 作者:  Jia, Hongjie;  Wang, Liangjun;  Song, Heping;  Mao, Qirong;  Ding, Shifei   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/12/01 Spectral clustering  Nystrom approximation  Incomplete Cholesky decomposition  Large data set   Hyperspectral Image Classification Based on Sparse Superpixel Graph 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 18, 页码: 18 作者:  Zhao, Yifei;  Yan, Fengqin   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/11/05 hyperspectral image  sparse superpixel graph  spectral-spatial classification  discrete potential  big data   Hyperspectral Image Classification Based on Sparse Superpixel Graph 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 18, 页码: 18 作者:  Zhao, Yifei;  Yan, Fengqin   |  收藏  |  浏览/下载：10/0  |  提交时间：2021/11/05 hyperspectral image  sparse superpixel graph  spectral-spatial classification  discrete potential  big data   Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 16, 页码: 20 作者:  Ma, Nan;  Sun, Lin;  Zhou, Chenghu;  He, Yawen   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/11/05 ASTER spectral library  hyperspectral data  1D convolutional neural network  cloud detection  data simulation  multi-satellite remote sensing images   Hyperspectral image super-resolution with self-supervised spectral-spatial residual network 期刊论文  OAI收割 Remote Sensing, 2021, 卷号: 13, 期号: 7 作者:  Chen, Wenjing;  Zheng, Xiangtao;  Lu, Xiaoqiang   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/04/21 hyperspectral image super-resolution  data fusion  spectral-spatial residual network  multispectral image  self-supervised training   New Eremophilenolide from Artemisia sogdiana 期刊论文  OAI收割 CHEMISTRY OF NATURAL COMPOUNDS, 2021, 卷号: 57, 期号: 1, 页码: 79-82 作者:  Mukhamatkhanova, RF (Mukhamatkhanova, R. F.)[ 1 ];  Levkovich, MG (Levkovich, M. G.)[ 1 ];  Sham'yanov, ID (Sham'yanov, I. D.)[ 1 ];  Dusmatova, DE (Dusmatova, D. E.)[ 1 ];  Terent'eva, EO (Terent'eva, E. O.)[ 1 ]   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/03/05 Artemisia sogdiana Bunge  sesquiterpene lactone  eremophilenolide  sogdianine  spectral data