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浏览/检索结果: 共9条,第1-9条 帮助

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Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China 期刊论文  OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 9, 页码: 15
作者:  
Ma, Ting
  |  收藏  |  浏览/下载:31/0  |  提交时间:2019/05/23
Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China 期刊论文  OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 9, 页码: 15
作者:  
Ma, Ting
  |  收藏  |  浏览/下载:45/0  |  提交时间:2019/05/23
Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China 期刊论文  OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 9, 页码: 15
作者:  
Ma, Ting
  |  收藏  |  浏览/下载:20/0  |  提交时间:2019/05/23
Step-by-step pipeline processing approach for line segment detection 期刊论文  OAI收割
IET Image Processing, 2017, 卷号: 11, 期号: 6, 页码: 416-424
作者:  
Zheng, Tianjiang;  Chang Z(常铮);  Luo HB(罗海波);  Ding QH(丁庆海);  Shao CY(邵春艳)
  |  收藏  |  浏览/下载:40/0  |  提交时间:2017/07/17
Extent and Area of Swidden in Montane Mainland Southeast Asia: Estimation by Multi-Step Thresholds with Landsat-8 OLI Data SCI/SSCI论文  OAI收割
2016
作者:  
  |  收藏  |  浏览/下载:25/0  |  提交时间:2017/11/09
Decomposition Behavior of Hemicellulose and Lignin in the Step-Change Flow Rate Liquid Hot Water 期刊论文  OAI收割
applied biochemistry and biotechnology, 2012, 卷号: 168, 期号: 1, 页码: 206-218
作者:  
Zhuang, Xinshu
收藏  |  浏览/下载:32/0  |  提交时间:2016/10/27
Rehabilitation of a debris-flow prone mountain stream in southwestern China - Strategies, effects and implications SCI/SSCI论文  OAI收割
2012
作者:  
Zhang K.
收藏  |  浏览/下载:34/0  |  提交时间:2012/09/04
A one-step method for producing microencapsulated phase change materials 期刊论文  OAI收割
PARTICUOLOGY, 2010, 卷号: 8, 期号: 6, 页码: 588-590
作者:  
Jin, Yi;  Lee, Waipeng;  Musina, Zenfira;  Ding, Yulong
收藏  |  浏览/下载:72/0  |  提交时间:2013/11/11
High-accuracy real-time automatic thresholding for centroid tracker (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Zhang Y.
收藏  |  浏览/下载:37/0  |  提交时间:2013/03/25
Many of the video image trackers today use the centroid as the tracking point. In engineering  we can get several key pairs of peaks which can include the target and the background around it and use the method of Otsu to get intensity thresholds from them. According to the thresholds  it give a great help for us to get a glancing size  a target's centroid is computed from a binary image to reduce the processing time. Hence thresholding of gray level image to binary image is a decisive step in centroid tracking. How to choose the feat thresholds in clutter is still an intractability problem unsolved today. This paper introduces a high-accuracy real-time automatic thresholding method for centroid tracker. It works well for variety types of target tracking in clutter. The core of this method is to get the entire information contained in the histogram  we can gain the binary image and get the centroid from it. To track the target  so that we can compare the size of the object in the current frame with the former. If the change is little  such as the number of the peaks  the paper also suggests subjoining an eyeshot-window  we consider the object has been tracked well. Otherwise  their height  just like our eyes focus on a target  if the change is bigger than usual  position and other properties in the histogram. Combine with this histogram analysis  we will not miss it unless it is out of our eyeshot  we should analyze the inflection in the histogram to find out what happened to the object. In general  the impression will help us to extract the target in clutter and track it and we will wait its emergence since it has been covered. To obtain the impression  what we have to do is turning the analysis into codes for the tracker to determine a feat threshold. The paper will show the steps in detail. The paper also discusses the hardware architecture which can meet the speed requirement.  the paper offers a idea comes from the method of Snakes