CASIA OpenIR

浏览/检索结果: 共11条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Preformer: Simple and Efficient Design for Precipitation Nowcasting With Transformers 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载:65/3  |  提交时间:2024/03/26
Data mining  Precipitation nowcastin  Transformer  
Lightweight Two-Stream Convolutional Neural Network for SAR Target Recognition 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 18, 期号: 0, 页码: 1-5
作者:  Huang, Xiayuan;  Yang, Qiao;  Qiao, Hong
浏览  |  Adobe PDF(736Kb)  |  收藏  |  浏览/下载:200/77  |  提交时间:2020/10/13
Lightweight  synthetic aperture radar (SAR) target recognition  two-stream convolutional neural network (CNN)  
Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 10, 页码: 1785-1789
作者:  Zhan, Yongjie;  Wang, Jian;  Shi, Jianping;  Cheng, Guangliang;  Yao, Lele;  Sun, Weidong
收藏  |  浏览/下载:222/0  |  提交时间:2018/03/03
Cloud And Snow Detection  Fully Convolutional Network  Multiscale Prediction  
Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 6, 页码: 851-855
作者:  Wang, Guoli;  Wang, Xinchao;  Fan, Bin;  Pan, Chunhong
Adobe PDF(1324Kb)  |  收藏  |  浏览/下载:463/181  |  提交时间:2017/05/09
Feature Extraction  Fisher Vector  Object Detection  Ring Pyramid Pooling (Rpp)  Rotation-invariant Matrix (Rim)  
Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016, 卷号: 13, 期号: 4, 页码: 545-549
作者:  Cheng, Guangliang;  Zhu, Feiyun;  Xiang, Shiming;  Pan, Chunhong;  Cheng GL(程光亮)
浏览  |  Adobe PDF(1560Kb)  |  收藏  |  浏览/下载:561/244  |  提交时间:2016/10/20
Multidirection Nonmaximum Suppression (M-nms)  Multiscale Filtering (Mf)  Road Centerline Extraction  Semisupervised Segmentation  
SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016, 卷号: 13, 期号: 2, 页码: 222-226
作者:  Huang, Xiayuan;  Qiao, Hong;  Zhang, Bo
浏览  |  Adobe PDF(730Kb)  |  收藏  |  浏览/下载:301/69  |  提交时间:2016/06/14
Global Discriminant  Local Discriminant  Manifold-to-manifold Distance (Mmd)  Multiple Manifolds  Synthetic Aperture Radar (Sar)  Target Configuration Recognition  Tensor  
Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 8, 页码: 1660-1664
作者:  Li, Haichang;  Xiang, Shiming;  Zhong, Zisha;  Ding, Kun;  Pan, Chunhong;  haichang516@gmail.com
浏览  |  Adobe PDF(526Kb)  |  收藏  |  浏览/下载:346/75  |  提交时间:2015/09/17
Clustering  Feature Selection  Hyperspectral  Spatial-spectral  
Multilevel SIFT Matching for Large-Size VHR Image Registration 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 卷号: 9, 期号: 2, 页码: 171-175
作者:  Huo, Chunlei;  Pan, Chunhong;  Huo, Leigang;  Zhou, Zhixin
Adobe PDF(659Kb)  |  收藏  |  浏览/下载:305/106  |  提交时间:2015/08/12
Coarse-to-fine Strategy  Geometric Constraint  Large-size Image Registration  Parallel-based Architecture  
A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 卷号: 10, 期号: 2, 页码: 236-240
作者:  Chen, Keming;  Zhou, Zhixin;  Huo, Chunlei;  Sun, Xian;  Fu, Kun
Adobe PDF(301Kb)  |  收藏  |  浏览/下载:272/77  |  提交时间:2015/08/12
Change Detection  Gaussian Process (Gp)  High-resolution (Hr) Image  Markov Random Field (Mrf)  
Change Field: A New Change Measure for VHR Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 卷号: 11, 期号: 10, 页码: 1812-1816
作者:  Huo, Leigang;  Feng, Xiangchu;  Huo, Chunlei;  Zhou, Zhixin;  Pan, Chunhong
Adobe PDF(656Kb)  |  收藏  |  浏览/下载:292/71  |  提交时间:2015/08/12
Change Detection  Change Field  Progressive Transductive Classification  Very High Resolution (Vhr) Images