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首页> 外文期刊>ISPRS International Journal of Geo-Information >Applying OGC Standards to Develop a Land Surveying Measurement Model
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Applying OGC Standards to Develop a Land Surveying Measurement Model

机译:运用OGC标准开发土地测量模型

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摘要

The Open Geospatial Consortium (OGC) is committed to developing quality open standards for the global geospatial community, thus enhancing the interoperability of geographic information. In the domain of sensor networks, the Sensor Web Enablement (SWE) initiative has been developed to define the necessary context by introducing modeling standards, like ‘Observation & Measurement’ (O&M) and services to provide interaction like ‘Sensor Observation Service’ (SOS). Land surveying measurements on the other hand comprise a domain where observation information structures and services have not been aligned to the OGC observation model. In this paper, an OGC-compatible, aligned to the ‘Observation and Measurements’ standard, model for land surveying observations has been developed and discussed. Furthermore, a case study instantiates the above model, and an SOS implementation has been developed based on the 52° North SOS platform. Finally, a visualization schema is used to produce ‘Web Map Service (WMS)’ observation maps. Even though there are elements that differentiate this work from classic ‘O&M’ modeling cases, the proposed model and flows are developed in order to provide the benefits of standardizing land surveying measurement data (cost reducing by reusability, higher precision level, data fusion of multiple sources, raw observation spatiotemporal repository access, development of Measurement-Based GIS (MBGIS)) to the geoinformation community.
机译:开放地理空间联盟(OGC)致力于为全球地理空间社区开发高质量的开放标准,从而增强地理信息的互操作性。在传感器网络领域,已经通过引入建模标准(例如“观测与测量”(O&M))和提供交互作用的服务(例如“传感器观测服务”(SOS))来开发传感器网络支持(SWE)计划,以定义必要的上下文。 )。另一方面,土地测量测量包括一个域,其中观察信息结构和服务尚未与OGC观察模型保持一致。在本文中,开发并讨论了与OGC兼容且符合“观测与测量”标准的土地测量观测模型。此外,案例研究实例化了上述模型,并基于52°North SOS平台开发了SOS实现。最后,可视化模式用于生成“ Web Map Service(WMS)”观察图。即使存在将这项工作与经典的“ O&M”建模案例区分开来的因素,仍会开发建议的模型和流程以提供标准化土地测量测量数据的好处(可重用性降低成本,提高精度水平,多个数据融合资源,原始观测时空资料库访问,向地理信息社区开发基于度量的GIS(MBGIS)。

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