机构

• 地理科学与资源研究所 [2]
• 地质与地球物理研究所 [1]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2022 [2]
• 2017 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4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 Selection of National Park Candidate Areas Based on Spatial Overlap Characteristics of Protected Areas in China 期刊论文  OAI收割 SUSTAINABILITY, 2022, 卷号: 14, 期号: 5, 页码: 17 作者:  Liu, Xiaoman;  Wang, Chao;  Jiang, Dong;  Wang, Yong;  Gao, Jixi   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/09/21 protected areas  overlapping  continuous area  national park  candidate area   Selection of National Park Candidate Areas Based on Spatial Overlap Characteristics of Protected Areas in China 期刊论文  OAI收割 SUSTAINABILITY, 2022, 卷号: 14, 期号: 5, 页码: 17 作者:  Liu, Xiaoman;  Wang, Chao;  Jiang, Dong;  Wang, Yong;  Gao, Jixi   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/09/21 protected areas  overlapping  continuous area  national park  candidate area   Estimation of the present-day stress field using in-situ stress measurements in the Alxa area, Inner Mongolia for China's HLW disposal 期刊论文  OAI收割 ENGINEERING GEOLOGY, 2017, 卷号: 220, 页码: 76-84 作者:  Du, Jianju;  Qin, Xianghui;  Zeng, Qingli;  Zhang, Luqing;  Chen, Qunce   |  收藏  |  浏览/下载：39/0  |  提交时间：2017/11/16 In-situ Stress Measurement  Hydraulic Fracturing  Present-day Stress Field  Alxa Candidate Area  Geological Disposal   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.