Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.5194/isprsarchives-XLI-B3-741-2016 |
POOR TEXTURAL IMAGE MATCHING BASED ON GRAPH THEORY | |
Chen, Shiyu1; Yuan, Xiuxiao1,2; Yuan, Wei1,3; Cai, Yang1 | |
通讯作者 | Chen, Shiyu |
会议名称 | 23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS) |
会议日期 | JUL 12-19, 2016 |
会议地点 | Prague, CZECH REPUBLIC |
英文摘要 | Image matching lies at the heart of photogrammetry and computer vision. For poor textural images, the matching result is affected by low contrast, repetitive patterns, discontinuity or occlusion, few or homogeneous textures. Recently, graph matching became popular for its integration of geometric and radiometric information. Focused on poor textural image matching problem, it is proposed an edge-weight strategy to improve graph matching algorithm. A series of experiments have been conducted including 4 typical landscapes: Forest, desert, farmland, and urban areas. And it is experimentally found that our new algorithm achieves better performance. Compared to SIFT, doubled corresponding points were acquired, and the overall recall rate reached up to 68%, which verifies the feasibility and effectiveness of the algorithm. |
英文关键词 | Poor Textural Image Image Matching Graph Matching Affinity Tensor Power Iteration Algorithm |
来源出版物 | XXIII ISPRS CONGRESS, COMMISSION III |
ISSN | 2194-9034 |
出版年 | 2016 |
卷号 | 41 |
期号 | B3 |
页码 | 741-747 |
EISBN | ***************** |
出版者 | COPERNICUS GESELLSCHAFT MBH |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China;Japan |
收录类别 | CPCI-S |
WOS记录号 | WOS:000392743800108 |
WOS类目 | Computer Science, Interdisciplinary Applications ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/304965 |
作者单位 | 1.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China; 2.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China; 3.Univ Tokyo, Ctr Spatial Informat Sci, Kashiwa, Chiba, Japan |
推荐引用方式 GB/T 7714 | Chen, Shiyu,Yuan, Xiuxiao,Yuan, Wei,et al. POOR TEXTURAL IMAGE MATCHING BASED ON GRAPH THEORY[C]:COPERNICUS GESELLSCHAFT MBH,2016:741-747. |
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