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| 一种结合SIFT和边缘信息的多源遥感影像匹配方法 | |
| 引用本文： | 叶沅鑫, 单杰, 熊金鑫, 董来根. 一种结合SIFT和边缘信息的多源遥感影像匹配方法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(10): 1148-1151. |
| 作者姓名： | 叶沅鑫 单杰 熊金鑫 董来根 |
| 作者单位： | 1武汉大学遥感信息工程学院;2西南交通大学地球科学与环境工程学院;3普渡大学土木工程学院 |
| 基金项目： | 国家973计划资助项目(2012CB719904,2011CB302306,2012CB719901)；中央高校博士研究生自主科研经费资助项目(201121302020002) |
| 摘 要： | 针对多源遥感影像间几何变形和灰度差异造成的匹配困难问题,提出一种结合SIFT和边缘信息的影像匹配方法。首先在高斯差分尺度空间进行特征点检测,并采用相位一致性提取可靠的边缘信息;然后结合改进的SIFT和形状上下文对特征点进行描述;最后将欧氏距离和χ2统计作为相似性测度获取同名点。相比于SIFT算法,本文方法可有效地提高匹配正确率,并获得更多的同名点。 |
| 关 键 词： | 遥感影像 影像匹配 边缘点 SIFT 形状上下文 |
| 收稿时间： | 2013-06-05 |
| 修稿时间： | 2013-10-05 |
A Node Localization Method in Wireless Sensor Network Based on K-means Cluster |
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| YE Yuanxin, SHAN Jie, XIONG Jinxin, DONG Laigen. A Node Localization Method in Wireless Sensor Network Based on K-means Cluster[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1148-1151. | |
| Authors: | YE Yuanxin SHAN Jie XIONG Jinxin DONG Laigen |
| Affiliation: | 1School of Remote Sensing and Information Engineering,Wuhan University;2Faculty of Geosciences and Enviromental Engineering,Southwest Jiaotong University;3School of Civil Engineering,Purdue University |
| Abstract: | Considering the influence of the environmental difference in the same localization circumstance, we proposes a node localization algorithm based on clustering in this paper. This algorithm can realize nodes clustering by using the RSSI-similarity degree in space environment, and succeed in localization estimation with different model parameters. Experimental results show that the proposed algorithm has a better localization accuracy than some RSSI algorithm. |
| Keywords: | wireless sensor network node localization cluster analysis RSSI |
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