CORC

在结果中检索

CORC

浏览/检索结果: 共19条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Adaptive multi-image direct georeferencing for unmanned aerial vehicle application 会议论文
Proceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
作者:  Li, H.;  Liu, C.;  He, Z.
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30
Automatic Building Extraction from Oblique Aerial Images 会议论文
Cancún Center, Cancún, México, 2016
作者:  Sun XF(孙晓峰);  Shen SH(申抒含);  Hu ZY(胡占义)
收藏  |  浏览/下载：19/0  |  提交时间：2017/06/08
AN IMPROVED SNAKE MODEL FOR REFINEMENT OF LIDAR-DERIVED BUILDING ROOF CONTOURS USING AERIAL IMAGES 会议论文
作者:  Chen, Qi;  Liu, Xiuguo;  Wang, Shugen
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/05
Damaged road extracting with high resolution aerial image of post-earthquake 会议论文
作者:  Zheng, Zezhong;  Pu, Chengjun;  Zhu, Mingcang;  Xia, Jun;  Zhang, Xiang
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/05
A ROBUST MATCHING METHOD FOR UNMMANED AERIAL VEHICLE IMAGES WITH DIFFERENT VIEWPOINT ANGLES BASED ON REGIONAL COHERENCY 会议论文
作者:  Yang, Nan;  Li, Congmin;  Shao, Zhenfeng
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
Shadow Detection in Color Aerial Sensing Images Based on Adaptive Pulse Coupled Neural Network 会议论文
International Conference on Audio, Language and Image Processing
作者:  Min, Bu[1];  Wei, Huang[2];  Chen, Wang[3];  Yao, Lu[4]
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/30
Power line detection based on symmetric partial derivative distribution prior 会议论文
2013 IEEE International Conference on Information and Automation, ICIA 2013, Yinchuan, China, August 26-28, 2013
作者:  Cao YR(曹蔚然);  Yang XY(杨秀义);  Zhu LL(朱琳琳);  Han JD(韩建达);  Wang TR(王天然)
收藏  |  浏览/下载：21/0  |  提交时间：2014/04/16
High-speed Recognition Algorithm Based on BRISK and Saliency Detection for Aerial Images 会议论文
3rd International Conference on Intelligent System Design and Engineering Applications (ISDEA), Hong Kong, PEOPLES R CHINA, 2013-01-01
作者:  Xiao Tengjiao;  Zhao Danpei;  Shi Jun;  Lu Ming
收藏  |  浏览/下载：2/0  |  提交时间：2020/01/06
Image compression algorithm of high-speed SPIHT for aerial applications (EI CONFERENCE) 会议论文
2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, May 27, 2011 - May 29, 2011, Xi'an, China
Zhang N.; Jin L. X.; Tao H. J.; Zhang K.
收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25
SPIHT and NLS (Not List SPIHT) are efficient compression algorithms  but the algorithms application is limited by the shortcomings of the poor error resistance and slow compression speed in the aviation and other areas requiring high-speed compression. In this paper  the error resilience and the compression speed are improved. The remote sensing images are decomposed by Le Gall5/3 wavelet  and wavelet coefficients are indexed  scanned and allocated by the means of family blocks. The bit-plane importance is predicted by bitwise OR  so the N bit-planes can be encoded at the same time. Compared with the SPIHT algorithm  this modified algorithm is easy implemented by hardware  and the compression speed is improved. The PSNR of reconstructed images encoded by high-speed SPIHT is slightly lower than SPIHT at rate 1bpp  but the speed is 4.5-6 times faster than SPIHT encoding process. The algorithm meets the high speed and reliability requirements of aerial applications. 2011 IEEE.  
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.  

©版权所有 ©2017 CSpace - Powered by CSpace