MODIS data are widely used, however, some features that include large data volume and complex storage format
impede MODIS data's direct circulation and use. The introduction of the WCS can improve this situation. In this
paper, on the basis of full analysis of characteristics of MODIS data and WCS, according to OGC WCS
specification, a MODIS data WCS was designed and implemented. Its design idea was expatiated from the logical
framework to the physical structure in accordance with the idea of software engineering. An example was
employed to describe its implement. This article can be a reference for other similar servers' design and
This paper focuses on RDF and ontology and semantic-enable geo-spatial data discovery and integration. The Wuhan
administrative semantic model as a part of urban topographical semantic model was firstly proposed to support the
service utilities discovery in the urban area. Based on Oracle 11g semantic tools, the semantic model is stored into
database, and ontology based querying, rule based reasoning, and ontology enable data discovery and integration are
implemented. The experiment results are presented and analyzed in this paper, which show this semantic way can
provide much more flexible, smart discovery ability that the traditional way can't offer, and semantic enable data
discovery and integration has a good application prospect.
Image matching is the crucial technique of stereo analysis, is also one of the most difficult problems in digital photogrammetry and computer vision, in urban area, because of a large amount of poor-texture areas, discontinued features, occlusion and partly-occlusion between objects increase the extent of difficulty of this problem. To improve the quality of image matching in urban areas, a relaxation approach of segment-based stereo matching is proposed. In this way, line segments are extracted from image by heuristic tracing extraction technique, then the difference of orientation, gradient of line segments and the amount of overlap of segments in the stereo images are calculated and used as the initial probability estimate for each segment match between the stereo pair, then, with the help of constraint of disparity continuity and constraint of consistence of topology, the relaxation process is used to correct the initial probability iteratively until it converge to a steady situation, and the globally optimal match is obtained. In the paper, a brief scheme of probability relaxation for the problem of segment-based stereo matching was firstly given, then the implementation of relaxation stereo matching was described in detail and finally the experimental results and conclusions were presented.