Journal of Remote Sensing & GIS

Journal of Remote Sensing & GIS
Open Access

ISSN: 2469-4134

+32 25889658

Paunescu C

Department of Geomatics, Bucharest University, Bucharest, Romania

  • Research Article   
    Automatic Urban Road Extraction from High Resolution Satellite Data Using Object Based Image Analysis: A Fuzzy Classification Approach
    Author(s): Paunescu C* and Paunescu V

    In the present world with a severe economic crisis, time and cost are the most crucial factors for any project. Civil engineering is a field of site execution where activities need an ample of time for its completion due to many factors and any contagious pandemic situation like Covid-19 makes difficult to perform the onsite operations. Hence adopting satellite data for planning purpose where required features can be automatically extracted and analyzed in any GIS software, is significant. This paper aims at the extraction of road features from high-resolution satellite data employing fuzzy classification technique. Worldview-2 satellite data of Gandhi nagar, the capital city of Gujarat, India having 0.5 m panchromatic and 2 m multispectral resolution, is used. Image fusion is carried out by using the bilinear sampling technique of Principal Component Analysis to obtain 0.5 m multires.. Read More»

    Abstract PDF