RudraxDave/UrbanizationDetection_RoadnBuilding

Building and Road Extraction for Urban and Rural Development and Annotations of Imagery -Jan 2021 - Jun 2021 Associated with Bhaskaracharya Institute For Space Applications and Geo-Informatics -Utilizing Open-Source Datasets from Google Earth Engine & NASA USGS (Sentinel, Landsat-8) of 2 certain timestamps, equalizing tiff files by Histogram Eq. Method, Clustering data by PCA + K-means Methodology, trained and segmented Data by Deep Learning Algorithms with U-NET Architecture, computed results by confusion matrix and attaining accuracy 89 percentage. • For mapping from high resolution imagery or GIS database construction and its update, automatic object-based image analysis, also animated change- after Change Detection Model so users come to know how urbanization occurs or growth happens over a decade.