Road extraction from satellite imagery has become a heated research subjects in recent years. It is especially used in the city planning, cartography and to update previously detected roads in Geographic Information Systems (GIS) environment.In this study automated road extraction technique is applied to four different satellite images (SPOT, IKONOS, QUICKBIRD, ASTER) with different resolutions...

In general, built-up areas or populated places are significantly changing within the revision interval of a GIS (Geographic Information System) or map. In this paper we present a method by means of which built-up areas are extracted from panchromatic satellite images of SPOT and IRS-1C and which makes use of the available information about built-up areas in the GIS. The method has been develope...

The increase in spatial resolution has enabled analysis and detection of images obtained through satellite. To increase the accuracy in image processing, an unwanted shadow needs to be processed effectively. A quality check mechanism governs the false reconstruction problems. In the proposed paper we would like to suggest use of Lib SVM algorithm. The original image obtained from satellite is f...

Differential interferometric synthetic aperture radar (DInSAR) has been increasingly used to monitor ground surface deformations due to such occurrences as underground mining, fluid extraction, earthquake and volcanic activities. However, temporal decorrelation has made it difficult to derive useful information from a single pair of repeat-pass satellite radar images for vegetated regions when ...

Satellite imagery provides a large amount of useful information. To extract this information and understand them may require huge computing power and processing time. Distributed computing can reduce the processing time by providing more computational power. GRASS, an open source software, has been used for processing the satellite images. To let the GRASS modules benefit from distributed compu...

In this paper, we propose two methods aiming at updating Geographic Information System (GIS) urban maps using satellite high-resolution remote sensed images. Both methods are based on the input of a priori knowledge provided by GIS data, and a Digital Surface Model (DSM). This article introduces theoretical aspects of our methods; implementation is currently ongoing.

Our goal is to improve the way in which Geographic Information System (GIS) databases are created, updated and utilized. We are building software systems that will enable users to rapidly and inexpensively acquire, update, analyze and visualize high-resolution digital elevation maps (DEM), ortho-images, and other GIS products from digital images collected by a wide range of aerial and satellite...

This paper deals with landslide hazard and risk analysis using Geographic Information System (GIS) and remote sensing data for Cameron Highland, Malaysia. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys. Topographical/geological data and satellite images were collected and processed using GIS and image processing tools. There are...