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| Geography Image Similarity Measurement Method Based on Adaptive Weighting of Similarity Matrix |
| LI Qin, YOU Xiong, LI Ke, TANG Fen |
| 1.Department of Geographic Information Engineering, Zhengzhou Institute of Surveying and Mapping, Zhengzhou 450000 |
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Abstract Image similarity measurement is crucial to many vision applications. A similarity measurement method based on adaptive weighting of similarity matrix is proposed in this paper. The image is firstly divided into the same-sized patches, and the convolutional neural networks are adopted to construct the descriptor of each patch. The patch similarities are calculated to constitute the similarity matrix. The probability of image pair coming from the same place is evaluated by analyzing the data distribution in similarity matrix. And the similarity weight of each unit is calculated based on the data difference. Ultimately, the overall image similarity is determined. The experimental results show that the proposed method is more robust than the existing ones in image retrieval. Moreover, it effectively solves the loop closure detection in simultaneous localization and mapping.
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Received: 20 January 2017
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| Fund:Supported by National Natural Science Foundation of China(No.41201390), Project of Science and Technology Innovation of Henan Province(No.142101510005) |
About author:: 李 钦,男,1990年生,博士研究生,主要研究方向为计算机视觉、深度学习.E-mail:leequer120419@163.com.
游 雄,男,1962年生,博士,教授,主要研究方向为虚拟地理环境、地理信息系统.E-mail:youarexiong@163.com.
李 科(通讯作者),男,1977年生,博士,副教授,主要研究方向为图像处理、计算机视觉.E-mail:Like19771223@163.com.
汤 奋,男,1991年生,博士研究生,主要研究方向为地图设计.E-mail:Tangfen1204@163.com. |
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2017, Vol. 30 
