In this paper, the authors describe and implement an algorithm to perform a supervised classification into Landsat MSS satellite images. The Maximum Likelihood Classification method is used to generate raster digital thematic maps by means of a supervised clustering. The clustering method has been proved in Landsat MSS images of different regions of Mexico to detect several training data relate...

Vector data structure produces smaller file size than raster image because a raster image needs space for all pixels while only point coordinates are stored in vector representation. Raster-to-vector conversion, i.e. vectorization, has key functionalities in Geographic Information Systems (GIS). This study presents a technique converting raster satellite island images into vector data as polygo...

This study examines the use of image processing and remote sensing in landuse changes mapping for Palladam Taluk between 1972(Topographic sheets) and 2011(satellite images). The layers of landuse map (1972) were digitized by heads-up digitization method in Quantum GIS (QGIS) software environment. Similarly the layers of landuse map (2011) were developed by supervised classification of satellite...

in recent years, acquiring information of remote sensing data, especially satellite data has excessively increased and several methods are presented in order to improve the quality of remote sensing studies in earth sciences. it is possible to manage many projects and provide different types of thematic maps in a short period of time, and a low cost by utilizing satellite data and gis method. r...

Land use patterns are fragile and sophisticated in Taiwan. In order to rapidly derive detail information of land use/land cover, it is necessary to employ remote sensing techniques because of its broad area coverage and fast data acquirement. The purposes of this research are to use high-resolution satellite images, such as IKONOS, to obtain urban land use information, and to apply fuzzy algori...

As known, at the present time, remote sensing technologies are being improved and year by year, by launching new satellites whose image taking configurations are improved with new techniques, images can be obtained faster with high quality. The satellites which had been launched recently for example; Quickbird, Ikonos and Orbview-3 have 1m and better resolution, continue their missions with qui...

Aerial and satellite images are information rich. They are also complex to analyze. For GIS systems, many features require fast and reliable extraction of roads and intersections. In this paper, we study efficient and reliable automatic extraction algorithms to address some difficult issues that are commonly seen in high resolution aerial and satellite images, nonetheless not well addressed in ...

GIS systems often rely on low-level, pixel-based representations of satellite scenes. The purpose of this paper is to show the advantages of using an intermediate representation incorporating multiple criteria in scene characterisation, as well as a framework for monitoring changes over time based on features of interest. A Conceptual Spaces framework, in conjunction with navigation-based skele...

Automated road information extraction enables the ready creation, maintenance, and update of the transportation network databases used for traffic management and automated vehicle navigation. This paper presents a semi-automatic method for road network extraction from high-resolution satellite images. First, we focus on detecting the seed points in candidate road regions using a Kohonen-type se...