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Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy 会议论文
Beijing, China, September 17-20, 2017
作者:  Yuan, Kun;  Meng, Gaofeng;  Cheng, Dongcai;  Bai, Jun;  Xiang, Shiming
收藏  |  浏览/下载：32/0  |  提交时间：2017/12/06
Automatic invalid Landsat image pixel screening on the Google Earth Engine platform 会议论文
IGARSS 2016, 中国北京
作者:  Qingling Zhang;  Kai Chen;  Qian Jing;  Xi Chen
收藏  |  浏览/下载：15/0  |  提交时间：2017/01/15
REMOTELY SENSED LAND COVER CHANGE IN CENTRAL ASIA (1990-2010) 会议论文
MLCCM 2015, 长沙
作者:  Sun Bo;  Liu Ping;  Chen Huijuan;  Liu Jun;  Zhang Qingling
收藏  |  浏览/下载：13/0  |  提交时间：2016/01/27
VISUAL UAV TRAJECTORY PLAN SYSTEM BASED ON NETWORK MAP 会议论文
作者:  Li, XiuLi;  Su, GuoZhong;  Wu, BoYi;  Lin, ZongJian
收藏  |  浏览/下载：1/0  |  提交时间：2019/12/05
Automatic bridge extraction for optical images (EI CONFERENCE) 会议论文
6th International Conference on Image and Graphics, ICIG 2011, August 12, 2011 - August 15, 2011, Hefei, Anhui, China
Gu D.-Y.; Zhu C.-F.; Shen H.; Hu J.-Z.; Chang H.-X.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
This paper describes a novel hierarchy algorithm for extracting bridges over water in optical images. To reduce the omission of bridges by searching the edge  we extract the river regions which the bridges are included in. Firstly  we segment the optical image to get the coarse water bodies using iterative threshold  eliminate the noise regions and add the missing regions based on k-means clustering with texture information and spatial coherence. Then  the blanks are connected based on shape features and candidate bridge regions are segmented from river regions. Finally  the bridges are verified by geometric information and the ubiety between bridges and river. The results show that this approach is efficient and effective for extracting bridges in satellite image from Google Earth and in aerial optical images acquired by unmanned aerial vehicle. 2011 IEEE.  
The analysis and research of visual perception and image processing in visual information design - Take Google Earth for example 会议论文
3rd International Conference on Image Analysis and Signal Processing, IASP 2011, Wuhan, China, October 21, 2011 - October 23, 2011
作者:  Lisha, Ouyang;  Jiang, Ruijun
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/23
Interactive 3D city modeling using google earth and ground images 会议论文
4th International Conference on Image and Graphics, Chengdu, China, August 22-24, 2007
作者:  Ding WL(丁伟利);  Zhu F(朱枫);  Hao YM(郝颖明)
收藏  |  浏览/下载：16/0  |  提交时间：2012/06/06
Removing shadows from google earth satellite images - art. no. 675202 会议论文
Geoinformatics 2007: Remotely Sensed Data and Information, Pts 1 and 2, Bellingham
Guo, Jianhong; Gong, Peng; Liang, Lu
收藏  |  浏览/下载：8/0  |  提交时间：2014/12/07

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