Mr. Meng-Quan Wu Profile

Meng-Quan Wu

education at Ludong Univ

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Publications (6)

Proceedings Article | 16 October 2009 Paper

A research on spatial information service based on geo-ontology

Mengquan Wu, Zhoulong Wang, Anding Zhang, Xiangsheng Kong

Proceedings Volume 7492, 74924E (2009) https://doi.org/10.1117/12.838371

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Geographic Information Services is the services for geographic information, including its geographic data services and geographic information systems information processing services. Geographic Information Services, its key is to realize the standardization of geographical information, as well as geographic information processing versatility, just not far from the conversion of geographic data to share information, only at a higher level of different applications and systems asked to cooperate with each other to achieve interoperability, in order to achieve the real purpose of geographic information services.A research on geo-ontology is the important content of Geographic Information Science and Digital Earth. The ontological foundation for Geographic Information Science is one of four new research fields that were proposed by UCGIS (University Consortium for Geographic Information Science) in 2000. In 2002 Research Agenda, the spatial ontology is the first topic of the ten Long-term Research Challenges. By the geo-spatial information semantic expression and semantic share based on ontology, the concepts of single community are expanded to more wide range gradually and are linked with Internet. Through the semantic description of service based on ontology, Web services can be automatic found out, composed, implemented and supervised. In this paper, based on the existing GIS database and having established geographic information field ontology, we will establish an application ontology database which is suitable for geographic data. Description Logic designating the corresponding rules knowledge, between the spatial database and ontology database, the difference ontology database building a definite correlation, the paper will propose a method on ontology-driven spatial data query. When inquiring a spatial entity, through the logic computation of ontology database, we can gain the query results, and return the final results. In the last, we will take tobacco planting query of digital tobacco as an example to test the method whether is feasible and effective.

Proceedings Article | 7 November 2008 Paper

A new remotely sensed image fusion using wavelet packet transform with the best basis

Zhoulong Wang, Haijiang Wang, Anding Zhang, Mengquan Wu

Proceedings Volume 7147, 714713 (2008) https://doi.org/10.1117/12.813240

KEYWORDS: Wavelets, Image fusion, Algorithm development, Image processing, Data fusion, Wavelet transforms, Image compression, Lithium, Image resolution, Reconstruction algorithms

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Proceedings Article | 3 November 2008 Paper

Research on monitoring tobacco fields by multi-source remote sensing data

Meng-quan Wu, Zhou-long Wang, An-ding Zhang, Yong-qi Huang, Qing-chun Cui

Proceedings Volume 7145, 71450U (2008) https://doi.org/10.1117/12.813008

KEYWORDS: Remote sensing, Image classification, Vegetation, Roads, Image processing, Buildings, Information fusion, Data storage, Climatology, Reflectance spectroscopy

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Proceedings Article | 14 November 2007 Paper

Monitoring the growth of large-area tobacco with MODIS data

Mengquan Wu, Wuihong Cui

Proceedings Volume 6790, 679033 (2007) https://doi.org/10.1117/12.747955

KEYWORDS: MODIS, Remote sensing, Vegetation, Satellites, Agriculture, Meteorological satellites, Near infrared, Meteorology, Data processing, Earth observing sensors

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Proceedings Article | 10 November 2007 Paper

Research on automatic generalization methods of geographical spatial data based on semantic scale

Yongqi Huang, Zhui Zhao, Mengquan Wu, Xiaochun Wu

Proceedings Volume 6795, 67952T (2007) https://doi.org/10.1117/12.774185

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Scale is an important factor when people acquire laws of geographical phenomena and processes. Generalized scale includes not only spatial scale and time scale but also semantic scale in geographic information science. Semantic scale describes semantic change amplitude and hierarchy of attribute contents of geographic entities. Semantic change amplitude represents attribute character changes in the unit time, the while hierarchy means classification and rank of attribute description. Scale is in inverse proportion to detailed degree of geographic entities when GIS displays multi-scale geographical spatial data. It is difficult that existing GIS display features of different semantic scale. As for the classified or ranked geographical spatial data the optimal solution is the hierarchy or rank of geographic entities displayed is higher when scale becomes small, so the generalization degree of detailed feature is higher. Ontology is a kind of modeling tool of concept model that is able to represent information system at the semantics and knowledge level. Geoontology is a kind of domain ontology and offers glossaries and relationships among concepts in the geographic spatial information domain. As far as the geographical hierarchy and classification system is concerned the relationships among the geographical concepts is hierarchy relationship, namely the relationship between the parent concepts and the child concepts or between hypernyms and hyponyms. Geoontology can represent formally this hierarchy relationship. A geographical concept can be navigated to its parent concept or child concept, and implements the automatic generalization of geographic spatial data by merging the features in the geographical feature classes corresponding to all child concepts of the some geographical concept in geoontology. However the automatic generalization method based on the geoontology cannot smooth the linear features and the boundary of polygon features, which should be implemented by resorting to other automatic generalization algorithms.

Proceedings Article | 25 July 2007 Paper

Research of spatial database based on spatial database engine

Mengquan Wu, Wuihong Cui, Xiaodong Yang, Yongqi Huang

Proceedings Volume 6753, 675306 (2007) https://doi.org/10.1117/12.760458

KEYWORDS: Databases, Data storage, Raster graphics, Geographic information systems, Data modeling, Binary data, Complex systems, System integration, Space operations, Remote sensing

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Showing 5 of 6 publications

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