Updating of very Large Scale Urban GIS maps with latest very high resolution satellite data using deep learning techniques
Implementing Organization
V R Siddhartha Engineering College, Vijayawada, Andhra Pradesh
Principal Investigator
Dr. Vasavi S
Professor
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V R Siddhartha Engineering College, Vijayawada, Andhra Pradesh
Dept. of Computer Science and Engineering
CO-Principal Investigator
Dr. S C Jayanthi
National Remote Sensing Centre (NRSC), ISRO, Hyderabad, Telangana
Project Overview
Most of the urban settlements especially smaller urban settlements are characterized by haphazard and unplanned growth, non-conforming land uses, mushrooming unauthorized colonies and land conversion from agriculture to urban resulting in environmental degradation and poor quality of life .The proper management of urban areas calls for accurate and vital information to be available on a regular basis . Very large scale GIS maps or database from very high resolution (VHR ) satellite data are important for urban application such as city Master plan formulation ,infrastructure planning and monitoring .The traditional manual intensive procedures need an automated approach for generating an accurate and updated base Map of the planning area showing roads and building layouts ,spatial extent of development and information on the use of each parcel of land etc. .Preparation of base maps from very High resolution Satellite (VHRS) Images and Geographic Information System (GIS) technology can be time and cost effective solution .In this project proposal a methodology and framework is proposed to update the existing large scale GIS maps /database with latest VHR satellite images data .