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	Fusion of High- and Medium-Resolution Optical Remote Sensing Imagery and GlobeLand30 Products for the Automated Detection of Intra-Urban Surface Water 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 21 作者: Li, Zhi; Yang, Xiaomei \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2021/03/15 urban surface water area extended morphological profiles adaptive threshold segmentation decision-level fusion GaoFen-1 satellite Landsat-OLI 8 GlobeLand30 products three-case study in China
	Fusion of High- and Medium-Resolution Optical Remote Sensing Imagery and GlobeLand30 Products for the Automated Detection of Intra-Urban Surface Water 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 21 作者: Li, Zhi; Yang, Xiaomei \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/03/15 urban surface water area extended morphological profiles adaptive threshold segmentation decision-level fusion GaoFen-1 satellite Landsat-OLI 8 GlobeLand30 products three-case study in China
	A novel fast detection method of infrared LSS-Target in complex urban background 期刊论文 OAI收割 International Journal of Wavelets Multiresolution and Information Processing, 2018, 卷号: 16, 期号: 1, 页码: 17 作者: Wu, Y. F.; Sun, H. J.; Liu, P. X. \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/09/17 Adaptive threshold segmentation region growth small target detection active contours filter Computer Science Mathematics
	Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Bai X.-G.; Dai M. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first we get the weight image from the target candidate region. Then we analyze the differences between the object and background. According to that the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix we can estimate the width height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.
	An edge extracting method of fuzzy thresholding value (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Gu R.; Zhu M. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 This paper discusses image's object edge extracting of threshold value. First this paper introduces fundamental principle of gray image object edge extracting after discussing the influence of object edge image's gray scale distributing characteristic and choice of threshold value to character extracting and target identification we bring forward a sort of method which using object edge fuzzy taxonomy and maximum fuzzy entropy theory to auto choose threshold value in the case that membership function is given then we have a test of threshold value segmentation to edge gray image in different contrast the result indicates this method has preferable scene adaptive faculty.