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Multi-scale unsupervised network for infrared and visible image fusion based on joint attention mechanism 期刊论文
Infrared Physics & Technology, 2022, 卷号: 125, 页码: 12
作者:  D. D. Xu;  N. Zhang;  Y. X. Zhang;  Z. Li;  Z. K. Zhao and Y. C. Wang
收藏  |  浏览/下载:0/0  |  提交时间:2023/06/14
Multistage Adaptive Point-Growth Network for Dense Point Cloud Completion 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 20, 页码: 19
作者:  R. D. Hao;  Z. H. Wei;  X. He;  K. F. Zhu;  J. Wang
收藏  |  浏览/下载:0/0  |  提交时间:2023/06/14
Research on Key Technologies of Super-Resolution Reconstruction of Medium and Long Wave Maritime Infrared Image 期刊论文
Applied Sciences-Basel, 2022, 卷号: 12, 期号: 21, 页码: 17
作者:  Z. P. Ren;  J. P. Zhao;  C. Wang;  X. C. Ma;  Y. Lou and P. Wang
收藏  |  浏览/下载:0/0  |  提交时间:2023/06/14
Infrared Small Target Detection by Modified Density Peaks Searching and Local Gray Difference 期刊论文
Photonics, 2022, 卷号: 9, 期号: 5, 页码: 19
作者:  M. Wu;  L. Chang;  X. B. Yang;  L. Jiang;  M. L. Zhou
收藏  |  浏览/下载:0/0  |  提交时间:2023/06/14
Research on Small-Type and High-Spectral-Resolution Grating Monochromator 期刊论文
Spectroscopy and Spectral Analysis, 2016, 卷号: 36, 期号: 1
作者:  Yang, Z. P.;  Y. G. Tang;  Bayanheshig;  J. C. Cui and J. Yang
收藏  |  浏览/下载:16/0  |  提交时间:2017/09/11
帕金森病丘脑底核场电位信号多特征提取及药物影响研究 学位论文
硕士: 中国科学院大学, 2015
作者:  王亚楠
收藏  |  浏览/下载:104/0  |  提交时间:2016/04/11
基于直线特征的异源景象匹配技术研究 学位论文
硕士: 中国科学院大学, 2015
作者:  王力
收藏  |  浏览/下载:43/0  |  提交时间:2016/04/11
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.  


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