Current GIS development pays more attention to the ability of distribution based on the client-server architecture. In a batch mode distributed GIS, a file server functions passively. Information sharing and integrating are far from concurrent, nor is the database integrity controlled. The dynamic Voronoi data model, equipped with a dedicated spatial server, presents a bright future in overcomi...

To meet the need that real-time access to scientific fertilizer suggestions, and make full use of existing digital resources of cultivated land, a solution is proposed based on WebGIS and fertilization model. With Jinshan county of Hubei province as a case, under the support of spatial database of cultivated land resource, the prescription fertilization system is developed based on MapXtreme an...

The latest Geographic Information System (GIS) technology makes it possible to administer the spatial components of daily “business object,” in the corporate database, and apply suitable geographic analysis efficiently in a desktop-focused application. We can use wireless internet technology for transfer process in spatial data from server to client or vice versa. However, the problem in wirele...

In order to detect the spatial conflicts in the process of spatial database updating, a refined description of spatial relationships is needed. This paper presents a topological chain model for refined line-line spatial relationships. The model integrates the topological relationships and order relationships with the metric relationships, such as intersecting angles, number of intersection poin...

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Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...

Spatial data mining practice for the extraction of useful information and knowledge from massive and complex spatial database. Most research in this area has focused on efficient clustering algorithm for spatial database to analyze the complexity. This paper introduces an active spatial data mining approach that extends the current spatial data mining algorithms to efficiently support user-defi...