Text labels in raster maps provide valuable geospatial information by associating geospatial locations with geographical names. Although present commercial optical character recognition (OCR) products can achieve a high recognition rate on documents, text recognition on raster maps is still challenging due to the varying text orientations and the overlapping between text labels. This paper pres...

Geospatial feature discovery from remote sensing imageries is widely used in national defense and security communities. Existing methods in the geospatial image mining and feature extraction focus on the manual or automated processing of images to detect individual elementary features, such as building and highway. Such elementary features don’t tell much semantic information about the features...

Disasters are events that cross geographical, organisational and other human-made or natural boundaries. Therefore, disaster management requires that various geospatial data producers and users collaborate together in an ad hoc manner, despites their different background and contexts. While semantic interoperability is meant to support meaningful communication between geospatial databases, sema...

In recent years, multiple geospatial ontologies have been developed for a wide range of different spatial databases. In addition, the development of volunteered geographic information both challenges and provides opportunities to the traditional authenticated geospatial information. Though volunteered geographic information is typically not as reliable and structured as the authenticated geospa...

The widened use of spatial data imposes the heavy load on databases and data sizes. Now a day’s spatial data is a part of smart computing because location is mostly responsible for user activities. In this paper we focus on reviewing a more efficient system to process spatial data in distributed system by implementing a combined approach for geospatial indexing and query formatting. Previous re...

In Geometry in Action: Cartography and geographic Information Systems David Eppstein [6] lists several important problems of computational geometry for cartography and GIS. This paper considers two of them: (1) matching/correlating similar features from different geospatial databases (the conflation problem), and (2) handling approximate and inconsistent data. These problems are of great practi...

In order to keep up-to-date geospatial data in topographic databases, automatic change detection and data updating is required. In the presented paper, we investigate the automatic change detection of geospatial data by using level set active contours. We propose an approach that is based on region comparison between two multi-temporal datasets. Firstly, the regions are extracted from two co-re...

Geographic information systems (GIS) are increasingly using geospatial data from the Web to produce geographic information. One big challenge is to find the relevant data, which often is based on keywords or even file names. However, these approaches lack semantics. Thus, it is necessary to provide mechanisms to prepare data to help retrieval of semantically relevant data. This paper proposes a...

We physically relate to our environment in three dimensions. However, familiar modes of interaction reside in 2D, which mimic our interactions with traditional paper-based media. In this work, our aim is to combine the situational understanding that can be gained from 3D GIS, with familiar paper-based interaction. Our system situates 3D terrains within a metaphor of a 2D interactive scrapbook o...

The large number of data sources on the Internet can be used to augment and verify the accuracy of geospatial sources, such as gazetteers and annotated satellite imagery. Data sources such as satellite imagery, maps, gazetteers and vector data have been traditionally used in geographic information systems (GIS), but nontraditional geospatial data, such as online phone books and property records...