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…
Deep Learning Aided Vision System for Planetary Rovers
Lomash Relia, Jai G Singla, Amitabh +1
This study presents a vision system for planetary rovers, combining real-time perception with offline terrain reconstruction. The real-time module integrates CLAHE enhanced stereo…
Population Estimation using Deep Learning over Gandhinagar Urban Area
Jai Singla, Peal Jotania, Keivalya Pandya
Population estimation is crucial for various applications, from resource allocation to urban planning. Traditional methods such as surveys and censuses are expensive, time-consumin…
Comparative Evaluation of Traditional and Deep Learning Feature Matching Algorithms using Chandrayaan-2 Lunar Data
R. Makharia, J. G. Singla, Amitabh +2
Accurate image registration is critical for lunar exploration, enabling surface mapping, resource localization, and mission planning. Aligning data from diverse lunar sensors -- op…
Semantic segmentation on multi-resolution optical and microwave data using deep learning
Jai G Singla, Bakul Vaghela
Presently, deep learning and convolutional neural networks (CNNs) are widely used in the fields of image processing, image classification, object identification and many more. In t…
Classification of residential and non-residential buildings based on satellite data using deep learning
Jai G Singla
Accurate classification of buildings into residential and non-residential categories is crucial for urban planning, infrastructure development, population estimation and resource a…
Examining quality of DGNSS derived positioning in data in urban city -- A case study of an urban city in India
Jai G Singla
GNSS observations are carried out in static mode/ Differential global navigation satellite system (DGNSS) and dynamic mode / Real time Kinematics (RTK) mainly. RTK mode of observat…
Population estimation using 3D city modelling and Carto2S datasets -- A case study
Jai G Singla
With the launch of Carto2S series of satellites, high resolution images (0.6-1.0 meters) are acquired and available for use. High resolution Digital Elevation Model (DEM) with bett…
Solar potential analysis over Indian cities using high-resolution satellite imagery and DEM
Jai Singla
Most of the research work in the solar potential analysis is performed utilizing aerial imagery, LiDAR data, and satellite imagery. However, in the existing studies using satellite…
Tree level change detection over Ahmedabad city using very high resolution satellite images and Deep Learning
Jai G Singla, Gautam Jaiswal
In this study, 0.5m high resolution satellite datasets over Indian urban region was used to demonstrate the applicability of deep learning models over Ahmedabad, India. Here, YOLOv…