Nitant Dube

According to our database, Nitant Dube authored at least 17 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Towards Seamless Lunar Mosaics: Deep Radiometric Normalization for Cross-Sensor Orbital Imagery Using Chandrayaan-2 TMC Data.

Pratincha Singh, Jai G. Singla, Prashant Hemrajani, Nitant Dube, Amithabh, Hinal Patel

CoRR, April, 2026

LunarDepthNet: Generation of Digital Elevation Models using Deep Learning and Monocular Satellite Images.

Aaranay Aadi, Jai G. Singla, Amitabh, Nitant Dube, Praveen Kumar Shukla, Vijaypal Singh Dhaka

CoRR, April, 2026

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation.

Lomash Relia, Jai G. Singla, Amitabh, Nitant Dube

CoRR, April, 2026

Evaluation of image simulation open source solutions for simulation of synthetic images in lunar environment.

Jai G. Singla, Hinal B. Patel, Nitant Dube

CoRR, April, 2026

DEM Refinement and Validation on the Lunar Surface Using Shape-from-Shading with Chandrayaan-2 OHRC Imagery.

Aaranay Aadi, Jai G. Singla, Nitant Dube

CoRR, April, 2026

Sub-metre Lunar DEM Generation and Validation from Chandrayaan-2 OHRC Multi-View Imagery Using an Open-Source Pipeline.

Aaranay Aadi, Jai G. Singla, Nitant Dube, Oleg Alexandrov

CoRR, April, 2026

Deep Learning Aided Vision System for Planetary Rovers.

Lomash Relia, Jai G. Singla, Amitabh, Nitant Dube

CoRR, March, 2026

Unsupervised Ultrasound Image Denoising with Monte Carlo Risk Estimation.

Ashutosh Gupta, Chandra Sekhar Seelamantula, Thierry Blu, Himanshu Shekhar, Nitant Dube, Shanmuganathan Raman

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Comparative Evaluation of Traditional and Deep Learning Feature Matching Algorithms using Chandrayaan-2 Lunar Data.

R. Makharia, Jai G. Singla, Amitabh, Nitant Dube, H. Sharma

CoRR, September, 2025

2023

Scalable big earth observation data mining algorithms: a review.

Neha Sisodiya, Nitant Dube, Om Prakash, Priyank Thakkar

Earth Sci. Informatics, September, 2023

Scalable clustering for EO data using efficient raster representation.

Neha Sisodiya, Sanjay Garg, Nitant Dube, Priyank Thakkar, Akshay Parmar, Shashikant Sharma

Multim. Tools Appl., March, 2023

2022

Scalable Architecture for Mining Big Earth Observation Data: SAMBEO.

Neha Sisodiya, Keshani Vyas, Nitant Dube, Priyank Thakkar

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

Analyzing Hydro-Estimator INSAT-3D Time Series with Outlier Detection.

Neha Sisodiya, Keshani Vyas, Nitant Dube, Priyank Thakkar

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2019

Extreme Weather Prediction Using 2-Phase Deep Learning Pipeline.

Vidhey Oza, Yash Thesia, Dhananjay Rasalia, Priyank Thakkar, Nitant Dube, Sanjay Garg

Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

2017

Ontology Concept-Based Management and Semantic Retrieval of Satellite Data.

Sunitha Abburu, Nitant Dube

J. Intell. Syst., 2017

2016

Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data.

Sunitha Abburu, Nitant Dube

Int. J. Semantic Web Inf. Syst., 2016

2013

GEOID: GRID Services for Earth Observation Image Data Processing.

Nitant Dube, R. Ramakrishnan, Kankar S. Dasgupta

Int. J. Digit. Earth, 2013