CASIA 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:
Building Regional Covariance Descriptors for Vehicle Detection 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 4, 页码: 524-528
作者:  Chen, Xueyun;  Gong, Ren-Xi;  Xie, Ling-Ling;  Xiang, Shiming;  Liu, Cheng-Lin;  Pan, Chun-Hong
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载:380/113  |  提交时间:2017/09/12
Deep Convolutional Neural Networks (Dcnns)  Regional Covariance Descriptor (Rcd)  Vehicle Detection  
Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 5, 页码: 719-723
作者:  Shi, Cunzhao;  Wang, Yu;  Wang, Chunheng;  Xiao, Baihua
浏览  |  Adobe PDF(1456Kb)  |  收藏  |  浏览/下载:406/126  |  提交时间:2017/09/12
Cloud Detection  Color  Graph Model (Gm)  Segmentation  Superpixel  Texture  
Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 7, 页码: 1106-1110
作者:  Wang Y(王钰);  Shi CZ(史存召);  Wang CH(王春恒);  Xiao BH(肖柏华)
浏览  |  Adobe PDF(1224Kb)  |  收藏  |  浏览/下载:361/111  |  提交时间:2017/09/12
Kullback-leibler (Kl) Divergence  Local Binary Patterns (Lbps)  Measure  Significance  
Deep Convolutional Activations-Based Features for Ground-Based Cloud Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 6, 页码: 816-820
作者:  Shi, Cunzhao;  Wang, Chunheng;  Wang, Yu;  Xiao, Baihua
浏览  |  Adobe PDF(755Kb)  |  收藏  |  浏览/下载:511/188  |  提交时间:2017/07/18
Cloud Classification  Convolutional Activations  Convolutional Neural Network (Cnn)  Fine-tune  Max Pooling  Sum Pooling  
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 卷号: 11, 期号: 10, 页码: 1797-1801
作者:  Chen, Xueyun;  Xiang, Shiming;  Liu, Cheng-Lin;  Pan, Chun-Hong
收藏  |  浏览/下载:218/0  |  提交时间:2015/08/12
Deep Convolutional Neural Networks (Dnns)  Hybrid Dnns (hDnns)  Remote Sensing  Vehicle Detection