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CORC

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High-Boost-Based Multiscale Local Contrast Measure for Infrared Small Target Detection 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2018, 卷号: 15, 期号: 1, 页码: 33-37
作者:  Shi, Yafei;  Wei, Yantao*;  Yao, Huang;  Pan, Donghui;  Xiao, Guangrun
收藏  |  浏览/下载：8/0  |  提交时间：2019/12/23
A portable high-density absolute-measure NIRS imager for detecting prefrontal lobe activity under fatigue driving 期刊论文
2018, 卷号: 82, 页码: 197-203
作者:  Zhao, Yue;  Xu, Guoyi;  Sun, Yunlong;  Pan, Boan;  Li, Ting
收藏  |  浏览/下载：4/0  |  提交时间：2020/01/03
Derivative Entropy-Based Contrast Measure for Infrared Small-Target Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 页码: 2452-2466
作者:  Bai, Xiangzhi;  Bi, Yanguang
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30
Entropy-based window selection for detecting dim and small infrared targets 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 页码: 66-77
作者:  Deng, He;  Sun, Xianping;  Liu, Maili;  Ye, Chaohui;  Zhou, Xin
收藏  |  浏览/下载：35/0  |  提交时间：2016/12/12
Small Infrared Target Detection Based on Weighted Local Difference Measure 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 7, 页码: 4204-4214
作者:  Deng, He;  Sun, Xianping;  Liu, Maili;  Ye, Chaohui;  Zhou, Xin
收藏  |  浏览/下载：71/0  |  提交时间：2016/07/12
Small Infrared Target Detection Based on Weighted Local Difference Measure 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2016, 卷号: 54, 期号: 7, 页码: 4204-4214
作者:  Deng, He;  Sun, Xianping;  Liu, Maili;  Ye, Chaohui;  Zhou, Xin*
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/23
Infrared Thermal Imaging Measurement of Power Cable Terminal 会议论文
作者:  Zhang, Zhenpeng;  Meng, Shaoxin;  Xia, Rong;  Li, Wenjie;  Yang, Dan
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
Design of programmable near infrared cold light source (EI CONFERENCE) 会议论文
2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China
Wang R.; Fu Q.; Suo H.; Zhao C.; Wang B.
收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25
基于红外定量分析方法检测烟幕粒子质量消光系数 期刊论文
2010, 2010
任慧; 康飞宇; 崔庆忠; 沈万慈; REN Hui; KANG Fei-yu; CUI Qing-zhong; SHEN Wan-ci
收藏  |  浏览/下载：3/0
The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
Sun M.; Bao Z.; Liu J.; Wang Y.; Quan Y.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
In order to solve the registration problem of different source image existed on aerial image fusion  algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper  and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed  high accuracy and high reliability. Basically  with little restriction of gray level properties  a new alignment measure is applied  which can efficiently measure the image registration extent and tolerate noise well. Even more  the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that  the study attains the registration accuracy of pixel level  and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM  solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time  the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms  and the registration result has higher accuracy and stability  which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect  and is easy for application and very suitable for engineering use. 2010 IEEE.  

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