中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Compressed Spectrum Reconstruction Method Based on Coding Feature Vector Enhancement 期刊论文
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
Adobe PDF(5920Kb)  |  收藏  |  浏览/下载：30/0  |  提交时间：2024/02/07
Compressed spectral imaging  encoding feature reconstruction  prior spectral data  vector enhancement  
Spectral-Spatial Joint Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2021, 卷号: 59, 期号: 3, 页码: 2391-2402
作者:  Dong, Le;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：172/1  |  提交时间：2021/03/29
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
Subspace Clustering Constrained Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 5, 页码: 3007-3019
作者:  Lu, Xiaoqiang;  Dong, Le;  Yuan, Yuan
Adobe PDF(2036Kb)  |  收藏  |  浏览/下载：206/2  |  提交时间：2020/05/20
Hyperspectral unmixing  self-expression  spatial structure  subspace clustering  
Generalized Scene Classification From Small-Scale Datasets With Multitask Learning 期刊论文
IEEE Transactions on Geoscience and Remote Sensing
作者:  Zheng, Xiangtao;  Gong, Tengfei;  Li, Xiaobin;  Lu, Xiaoqiang
Adobe PDF(2936Kb)  |  收藏  |  浏览/下载：72/0  |  提交时间：2021/11/01
Attention  multitask learning (MTL)  scene classification  small-scale dataset  
A new method for direct measurement of polarization characteristics of water-leaving radiation 期刊论文
IEEE Transactions on Geoscience and Remote Sensing
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(2058Kb)  |  收藏  |  浏览/下载：80/1  |  提交时间：2021/11/30
water-leaving radiance  polarization  field instrument  radiative transfer simulations  polarization-based algorithm