机构

• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 大连化学物理研究所 [1]
• 自动化研究所 [1]
• 植物研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• 会议论文 [2]

发表日期

• 2018 [1]
• 2017 [1]
• 2011 [1]
• 2008 [1]
• 2002 [1]

学科主题

• Ecology [1]
• Forestry [1]
• Plant Scie... [1]

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Mapping the vertical distribution of maize roots in China in relation to climate and soil texture 期刊论文  OAI收割 JOURNAL OF PLANT ECOLOGY, 2018, 卷号: 11, 期号: 6, 页码: 899-908 作者:  Wang, Sheng;  Huang, Yao;  Sun, Wenjuan;  Yu, Lingfei   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/02/25 accumulated temperature  maize root  soil texture  statistical model  vertical distribution   A time-dependent quantum dynamical study of the O(P-3) + D-2(+) -> OD+ + D reaction 期刊论文  OAI收割 CHEMICAL PHYSICS LETTERS, 2017, 卷号: 676, 页码: 77-81 作者:  Yi-Wang;  Zhang, Ai-jie;  Zang, Kai-lu;  Jia, Jian-feng;  Wu, Hai-shun 收藏  |  浏览/下载：114/0  |  提交时间：2017/10/29 Taguchi M-32 statistical design  Granulation process  Oil-drop route  Mesoporous materials  Texture characteristics   TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China Yao Z.; Han Q. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute  most of them need plenty of samples and prior Knowledge. In this paper  within a few evident samples (not too many)  we can first get the texture feature of each component and the structures  then select the approximately location randomly of the objects or patches of them  then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.   Statistical texture for contour interval choice of 1:50,000 DEMs 会议论文  OAI收割 Guangzhou, June 28, 2008 - June 29, 2008 作者:  MingLiang, Luo;  Guoan, Tang;  Shijiang, Yan;  Youfu, Dong   |  收藏  |  浏览/下载：25/0  |  提交时间：2019/05/27 contour interval  statistical texture  hill  DEMs  grayscale  class separability   Brief review of invariant texture analysis methods 期刊论文  OAI收割 PATTERN RECOGNITION, 2002, 卷号: 35, 期号: 3, 页码: 735-747 作者:  Zhang, JG;  Tan, TN 收藏  |  浏览/下载：38/0  |  提交时间：2015/11/08 invariant texture analysis  statistical methods  model based methods  structural methods