Mr. Yongqi Huang Profile

Yongqi Huang

at Institute of Remote Sensing and Digital Earth

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Publications (6)

Proceedings Article | 3 November 2008 Paper

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

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

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 | 3 November 2008 Paper

Research on spatio-temporal ontology based on description logic

Zhui Zhao, Yongqi Huang, Zhimin Ding, Fucheng Ouyang

Proceedings Volume 7143, 714304 (2008) https://doi.org/10.1117/12.812525

KEYWORDS: Logic, Geographic information systems, Analytical research, Binary data, Geoinformatics, Data modeling, Systems modeling, Information fusion, Artificial intelligence, Data processing

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Proceedings Article | 10 November 2007 Paper

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

Zhui Zhao, Xiaochun Wu, Mengquan Wu, Yongqi Huang

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 | 1 August 2007 Paper

Research on automatic generalization methods of geographical spatial data

Zhui Zhao, Yongqi Huang

Proceedings Volume 6751, 675103 (2007) https://doi.org/10.1117/12.759471

KEYWORDS: Cartography, Fractal analysis, Databases, Data modeling, Mathematical modeling, Mathematical morphology, Geographic information systems, Genetic algorithms, Wavelets, Data acquisition

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Different geographical phenomena and processes take on diverse laws, this is to say, specific laws of geographical phenomena and processes should be researched on a given spatial scale. In addition, geographical phenomena and processes don't linearly change with spatial scale, which can't obtain by linear interpolation or extrapolation. As a result, we must resolve the problem of multi-scale representation of geographical spatial data, which is also the key technique of Multi-Scale GIS or Scale-Free GIS. At the present time people have to adopt multi-ply representation for the sake of satisfying people's research and production needs on different spatial scales. However, this method has such shortcomings as a good many data redundancies, ensuring no the consistency of the same spatial entity on different spatial scales, low efficiency of updating spatial database and bad real-time characteristic of spatial database. Ideal aim of multi-scale representation of geographical spatial data is deriving desired spatial database of various scales or detail degrees from dominant cartographic database, which is automatic generalization of geographical spatial data. Research fields of automatic generalization of geographical spatial data include theory foundation, concept framework, solution and algorithms of automatic generalization. Therein algorithms of automatic generalization are the technique basis of automatic generalization of geographical spatial data. Since the seventies of the last century people have already put continuously forward a large number of algorithms of automatic generalization. Those algorithms have indeed resolved a good many important problems, but they have some obvious shortcomings and application confines. This article makes a research on those algorithms of automatic generalization, and research contents comprise classification, principle, application confines, merits and drawbacks of algorithms of automatic generalization. This paper also brings forward the research orientation of algorithms of automatic generalization for the future.

Proceedings Article | 25 July 2007 Paper

The simulation of 3D structure of groundwater system based on Java/Java3D

Peifa Wang, Xiaodong Yang, Weihong Cui, Yongqi Huang

Proceedings Volume 6753, 675330 (2007) https://doi.org/10.1117/12.761929

KEYWORDS: 3D modeling, Visualization, 3D displays, Internet, Java, Tin, Systems modeling, 3D visualizations, Analytical research, Visual process modeling

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Proceedings Article | 25 July 2007 Paper

Research of spatial database based on spatial database engine

Yongqi Huang, Wuihong Cui, Xiaodong Yang, Mengquan Wu

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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