Publications ›› Papers ›› Data Analytics

Comparison of Segmentation Methods in Remote  Sensing for Land Use Land Cover 

Authors: Naman Srivastava, Joel D Joy,Yash Dixit, Swarup E, Rakshit Ramesh Know more Land Use Land Cover (LULC) mapping is essential for urban and resource planning, and is one of the key elements in developing smart and sustainable this http URL study evaluates advanced LULC mapping techniques, focusing on Look-Up Table (LUT)-based Atmospheric Correction applied to Cartosat […]

Performance Evaluation of Geospatial Images based on Zarr and Tiff

Authors: Jaheer khan, Swarup E, Rakshit Ramesh Know more This evaluate the performance of geospatial image processing using two distinct data storage formats: Zarr and TIFF. Geospatial images, converted to numerous applications like environmental monitoring, urban planning, and disaster management. Traditional Tagged Image File Format is mostly used because it is simple and compatible but […]

Performance Evaluation of Geospatial Images based on Zarr and Tiff

Authors: Jaheer khan, Swarup E, Rakshit Ramesh Know more This evaluates the performance of geospatial image processing using two distinct data storage formats: Zarr and TIFF. Geospatial images, converted to numerous applications like environmental monitoring, urban planning, and disaster management. Traditional Tagged Image File Format is mostly used because it is simple and compatible but […]

Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images

Authors: Yash Dixit, Naman Srivastava, Joel D Joy, Rohan Olikara, Swarup E, Rakshit Ramesh Know more Land Use Land Cover (LULC) mapping is a vital tool for urban and resource planning, playing a key role in the development of innovative and sustainable cities. This study introduces a semi-supervised segmentation model for LULC prediction using high-resolution […]

An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery

Authors: Soham Mukherjeea, Yash Dixit, Naman Srivastava, Joel D Joy, Koesha Sinha, Rohan Olikara, Swarup E, Rakshit Ramesh Know more The integration of fine-scale multispectral imagery with deep learning models has revolutionized land use and land cover (LULC) classification. However, the atmospheric effects present in Top-of-Atmosphere sensor measured Digital Number values must be corrected to […]

Enhanced ETA Predictions with T-GCN on Optimized Road Segments

Authors: Shivika Sharma, Nandini Mawane, Chetan Kumar Kuraganti, Dhruthick Gowda M, Mayur Taware, Yash Chandrashekhar Dixit, Sahil Mishra, Raghu Krishnapuram and Rakshit Ramesh Know more Accurate Estimated Time of Arrival (ETA) predictions play a critical role in improving the operational efficiency, traffic management, and reliability of services in transit systems. This work presents a comprehensive […]

Data-Driven Solid Waste Management Optimization with Vehicle Routing and Redistribution Strategy

Authors: Chetan Kumar Kuraganti, Arun Josephraj, Saanidhya Vats, Amarthya KR, Koesha Sinha, Raghu Krishnapuram and Rakshit Ramesh Know more This paper presents two techniques for optimizing solid waste management (SWM) systems of a city. The first technique involves planning routes for garbage collection vehicles which utilizes the Capacitated Vehicle Routing Problem (CVRP) and Google-OR-Tools to […]