高技术通讯：英文版2023，Vol.29Issue(2)：P.174-180,7.DOI:10.3772/j.issn.1006-6748.2023.02.008
Paired regions for shadow removal approach based on multi-features
张之政 1GUO Mingqiang 1WU Liang 2HUANG Ying 3CHEN Xueye4
作者信息
- 1. Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China National Engineering Research Center of Geographic Information System,China University of Geosciences,Wuhan 430074,P.R.China School of Computer Science,China University of Geosciences,Wuhan 430074,P.R.China
- 2. National Engineering Research Center of Geographic Information System,China University of Geosciences,Wuhan 430074,P.R.China School of Computer Science,China University of Geosciences,Wuhan 430074,P.R.China
- 3. Wuhan Zondy Cyber Technology Co.,Ltd.,Wuhan 430074,P.R.China
- 4. Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China
- 折叠
摘要
关键词
paired region/feature distance/texture/peak signal-to-noise ratio(PSNR)/structural similarity(SSIM)分类
信息技术与安全科学引用本文复制引用
张之政,GUO Mingqiang,WU Liang,HUANG Ying,CHEN Xueye..Paired regions for shadow removal approach based on multi-features[J].高技术通讯：英文版,2023,29(2):P.174-180,7.基金项目
Supported by the National Natural Science Foundation of China (No. 41971356, 41701446) （No. 41971356, 41701446）
the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources (No. KF-2022-07-001)。 （No. KF-2022-07-001）
