15 papers
Towards Seamless Lunar Mosaics: Deep Radiometric Normalization for Cross-Sensor Orbital Imagery Using Chandrayaan-2 TMC Data
Pratincha Singh, Jai Gopal Singla, Prashant Hemrajani +3
Radiometric inconsistencies remain a major challenge in generating seamless lunar mosaics from multi-mission orbital imagery due to variability in illumination geometry, sensor cha…
Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation
Lomash Relia, Jai G Singla, Amitabh +1
This study analyses simulated and real-world implementations of depth-aware rover navigation, highlighting the transition from stereo vision to monocular depth estimation using edg…
Evaluation of image simulation open source solutions for simulation of synthetic images in lunar environment
Jai G Singla, Hinal B Patel, Nitant Dube
Synthetic image generation is one of the crucial input for planetary missions. It enables researchers and engineers to visualize planned planetary missions, test imaging systems an…
LunarDepthNet: Generation of Digital Elevation Models using Deep Learning and Monocular Satellite Images
Aaranay Aadi, Jai Gopal Singla, Amitabh +3
Recent times have seen an increase in demand of high quality Digital Elevation Models (DEMs) for the lunar surface, because they are highly important for studying the moon and plan…
DEM Refinement and Validation on the Lunar Surface Using Shape-from-Shading with Chandrayaan-2 OHRC Imagery
Aaranay Aadi, Jai Gopal Singla, Nitant Dube
This study presents a Shape from Shading (SfS) framework to enhance sub-metre resolution lunar digital elevation models (DEMs) using imagery from the Orbiter High Resolution Camera…
Sub-metre Lunar DEM Generation and Validation from Chandrayaan-2 OHRC Multi-View Imagery Using an Open-Source Pipeline
Aaranay Aadi, Jai Singla, Nitant Dube +1
High-resolution digital elevation models (DEMs) of the lunar surface are essential for surface mobility planning, landing site characterization, and planetary science. The Orbiter…