Open AccessA Multi Stage Approach for Urban Building Extraction from Remote Sensing Satellite Images
Author(s) -
V. S. S. N. Gopala Krishna Pendyala,
Hemantha Kumar Kalluri,
C. V. Rao
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.24.21864
Subject(s) - computer science , information extraction , data mining , satellite , remote sensing , extraction (chemistry) , geographic information system , data extraction , stage (stratigraphy) , information retrieval , geography , engineering , chemistry , medline , chromatography , aerospace engineering , law , political science , paleontology , biology
The most important parameter for urban information system is the building information which is represented by the geographic location of the buildings as well as the area, perimeter, density, inter building distances. This data is integrated with demographic data for various applications. High resolution Remote sensing images are widely used as primary data for automatic extraction of building information. Many researchers have developed different methods for maximizing the detection percentage with minimum errors. This paper analyzes the primary data available for researchers, deriving the secondary information and utilizing it effectively. Case studies by various researchers were analyzed and a methodology has been outlined using their experiences, which is expected to be more efficient and reduced errors.