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• 地理科学与资源研究所 [5]
• 长春光学精密机械与物... [3]
• 新疆生态与地理研究所 [1]
• 化学研究所 [1]
• 数学与系统科学研究院 [1]
• 沈阳自动化研究所 [1]
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• OAI收割 [13]

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• 会议论文 [6]
• 期刊论文 [6]
• SCI/SSCI论文 [1]

发表日期

• 2019 [2]
• 2018 [3]
• 2016 [1]
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浏览/检索结果: 共13条，第1-10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 Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 13, 页码: 18 作者:  Zhao, Jing;  Huang, Shengzhi;  Huang, Qiang;  Wang, Hao;  Leng, Guoyong   |  收藏  |  浏览/下载：147/0  |  提交时间：2020/03/23 copula-based method  NDVI and precipitation  temperature  change points  teleconnection factors  double cumulative curve method   KCCA-based radiation normalization method for hyperspectral remote sensing Images 会议论文  OAI收割 Beijing, China, 2019-07-07 作者:  Li, Haiwei;  Song, Liyao;  Yan, Qiangqiang;  Chen, Tieqiao   |  收藏  |  浏览/下载：55/0  |  提交时间：2020/03/04 Kernel Canonical Correlation Analysis (KCCA)  Radiation normalization  Pseudo-invariant feature points (PIF)  Multivariate change detection   When and where did the Loess Plateau turn "green"? Analysis of the tendency and breakpoints of the normalized difference vegetation index 期刊论文  OAI收割 LAND DEGRADATION & DEVELOPMENT, 2018, 卷号: 29, 期号: 1, 页码: 162-175 作者:  Cao, Zhi;  Li, Yurui;  Liu, Yansui;  Chen, Yufu;  Wang, Yongsheng   |  收藏  |  浏览/下载：34/0  |  提交时间：2019/05/30 abrupt change in NDVI  break points of NDVI  Loess Plateau  NDVI  the Grain for Green Project   When and where did the Loess Plateau turn "green"? Analysis of the tendency and breakpoints of the normalized difference vegetation index 期刊论文  OAI收割 LAND DEGRADATION & DEVELOPMENT, 2018, 卷号: 29, 期号: 1, 页码: 162-175 作者:  Cao, Zhi;  Li, Yurui;  Liu, Yansui;  Chen, Yufu;  Wang, Yongsheng   |  收藏  |  浏览/下载：30/0  |  提交时间：2019/05/30 abrupt change in NDVI  break points of NDVI  Loess Plateau  NDVI  the Grain for Green Project   When and where did the Loess Plateau turn "green"? Analysis of the tendency and breakpoints of the normalized difference vegetation index 期刊论文  OAI收割 LAND DEGRADATION & DEVELOPMENT, 2018, 卷号: 29, 期号: 1, 页码: 162-175 作者:  Cao, Zhi;  Li, Yurui;  Liu, Yansui;  Chen, Yufu;  Wang, Yongsheng   |  收藏  |  浏览/下载：11/0  |  提交时间：2019/05/30 abrupt change in NDVI  break points of NDVI  Loess Plateau  NDVI  the Grain for Green Project   Phase change behaviors of PEG on modified graphene oxide mediated by surface functional groups 期刊论文  OAI收割 EUROPEAN POLYMER JOURNAL, 2016, 卷号: 74, 页码: 43-50 作者:  Wang, Chongyun;  Wang, Wei;  Xin, Gongbiao;  Li, Guoling;  Zheng, Jie 收藏  |  浏览/下载：22/0  |  提交时间：2016/05/03 Phase change materials  Melting points depression  Surface property  Graphene oxide   A shape context based Hausdorff similarity measure in image matching 会议论文  OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ma TL(马天磊);  Liu YP(刘云鹏);  Shi ZL(史泽林);  Yin J(尹健) 收藏  |  浏览/下载：36/0  |  提交时间：2013/12/26 The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.   Improved continuous wavelet analysis of variation in the dominant period of hydrological time series SCI/SSCI论文  OAI收割 2013 作者:  Wang D. 收藏  |  浏览/下载：15/0  |  提交时间：2014/12/24 hydrological series analysis  continuous wavelet transform  wavelet  basis function  multi-temporal scale  wavelet spectrum  period  trend  change points  maximum entropy spectral analysis  de-noising  entropy spectral-analysis  decomposition  identification  transform  threshold  model   Image matching combine SIFT with regional SSDA (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Control Engineering and Communication Technology, ICCECT 2012, December 7, 2012 - December 9, 2012, Shenyang, Liaoning, China 作者:  Liu J.;  Liu J.;  Liu J.;  Zhao J. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 Image matching is at the base of many computer vision problems  such as object recognition or image stitching. Standard SIFT provides poor performance when images under viewpoint change conditions and with similar corners. Hence  we propose a matching algorithm combine regional SSDA with simplified SIFT algorithm. We demonstrate through experiments that our algorithm yields better performance in images of viewpoint change and similar feature points. Besides  the simplified algorithm cut down about half the time was originally needed in our tested images. 2012 IEEE.   A matching algorithm on statistical properties of Harris corner (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China 作者:  He B. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation  gray  noise and viewpoint change conditions  has an ideal match results  is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly  experiments show that the two features exclusive  then applied them to image registration for the first time. A set of actual images have shown  this proposed method not only overcomes the complicated background  gray uneven distribution problems  but also pan and zoom the image has a good resistance. 2011 IEEE.