| 引用本文: | 仇林遥,王萌,朱庆,等.顾及时空语义的多主题瓦片数据优化检索方法.[J].国防科技大学学报,2015,37(5):15-20.[点击复制] |
| QIU Linyao,WANG Meng,ZHU Qing,et al.An optimal retrieval method of multi-theme image tiles considering the spatio-temporal semantics[J].Journal of National University of Defense Technology,2015,37(5):15-20[点击复制] |
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| 顾及时空语义的多主题瓦片数据优化检索方法 |
| 仇林遥1,2,3, 王萌1,4, 朱庆5,3, 杜志强1,4 |
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(1.武汉大学 测绘遥感信息工程国家重点实验室， 湖北 武汉 430079;2.
2.西南交通大学 地球科学与环境工程学院， 四川 成都 611756;3.
3.地球空间信息技术协同创新中心， 湖北 武汉 430079;4.3.地球空间信息技术协同创新中心， 湖北 武汉 430079;5.2.西南交通大学 地球科学与环境工程学院， 四川 成都 611756)
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| 摘要: |
| 针对虚拟地球可视化中多个逻辑图层叠加产生大量同名瓦片索引重叠引起的数据无效访问和内存冗余等问题，提出顾及时空语义的瓦片数据优化检索方法。在客户端实现顾及时空语义的自适应瓦片优选，将视点信息与数据集的时空范围、分辨率和优先级等语义信息自动匹配与自适应筛选过滤，显著提高目标瓦片数据的命中率；在服务器端实现面向主题的内存数据库瓦片数据缓存，进一步提高瓦片数据二次访问的响应速度。实验表明，该方法不受逻辑图层增量影响，保证目标瓦片较高的命中率，缓存方法进一步提升瓦片二次访问效率，显著提高面向多数据集的海量数据实时可视化性能。 |
| 关键词: 瓦片金字塔 高分辨率遥感影像 自适应匹配 瓦片优选 内存数据库 |
| DOI：10.11887/j.cn.201505003 |
| 投稿日期：2015-07-06 |
| 基金项目:国家自然科学基金资助项目（41171311，41471320）；国家高分辨率对地观测系统应用系统（民用部分）建设资助项目（03-Y30B06-9001-13/15）；四川省科技计划资助项目（2014SZ0106） |
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| An optimal retrieval method of multi-theme image tiles considering the spatio-temporal semantics |
| QIU Linyao1,2,3, WANG Meng1,4, ZHU Qing5,3, DU Zhiqiang1,4 |
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(1. State Key Laboratory of Information Engineering in Surveying， Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;2.
2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;3.
3. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China;4.3. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China;5.2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China)
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| Abstract: |
| Aiming at the invalid accesses and memory redundancies caused by data overlap of more than one logic map tile in the visualization process of virtual earth, an optimal retrieval method of multi-theme tiles considering the spatio-temporal semantics was proposed. On the client side, the self-adoptive retrieval of tiles considering spatio-temporal semantics automatically matches the viewpoint information with semantics of datasets like space-time range, resolution and priority, then the invalid selection was filtered and the efficiency of target tiles data hit ratio was improved. On the server side, the theme oriented data cache based on memory database was achieved to prompt the response speed of server in the second access of tiles. Finally, the experiments prove that this method can prevent stable and high hit rate of target tile affected by amount of datasets and the cache method can further improve the efficiency of tiles access. The real time visualization performance of massive image data is significantly improved. |
| Keywords: tile pyramid high resolution remote sensing images self adoption optimal retrieval of tiles memory database |
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