5 citations · 6 across the 10 of their papers we have counts for
11 papers
Advancements in Data Processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)
Ankur Garg, Abhishek Patil, Meenakshi Sarkar +2
Hyperspectral imaging is a powerful tool for Earth exploration, allowing for detailed analysis of spectral features. India has launched a dedicated hyperspectral Earth observation…
Enhancing Image Resolution: A Simulation Study and Sensitivity Analysis of System Parameters for Resourcesat-3S/3SA
Ankur Garg, Meenakshi Sarkar, S. M. Moorthi +1
Resourcesat-3S/3SA, an upcoming Indian satellite, is designed with Aft and Fore payloads capturing stereo images at look angles of -5deg and 26deg, respectively. Operating at 632.6…
Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images
Ankur Garg, Nitesh Thapa, Ghansham Sangar +4
The Geo High Resolution Camera (GHRC) aboard ISRO GSAT-29 satellite is a state-of-the-art 6-band Visible and Near Infrared (VNIR) imager in geostationary orbit at 55degE longitude.…
Hyperspectral Spatial Super-Resolution using Keystone Error
Ankur Garg, Meenakshi Sarkar, S. Manthira Moorthi +1
Hyperspectral images enable precise identification of ground objects by capturing their spectral signatures with fine spectral resolution.While high spatial resolution further enha…
Advancements in Image Resolution: Super-Resolution Algorithm for Enhanced EOS-06 OCM-3 Data
Ankur Garg, Tushar Shukla, Purvee Joshi +7
The Ocean Color Monitor-3 (OCM-3) sensor is instrumental in Earth observation, achieving a critical balance between high-resolution imaging and broad coverage. This paper explores…
Data Processing Chain and Products of EOS-06 OCM-3 Payload From Signal Processing to Geometric Precision
Ankur Garg, Tushar Shukla, Sunita Arya +5
The Ocean Color Monitor-3, launched aboard Oceansat-3, represents a significant advancement in ocean observation technology, building upon the capabilities of its predecessors. Wit…
CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation
Subhajit Paul, Ashutosh Gupta
Clouds in optical satellite images are a major concern since their presence hinders the ability to carry accurate analysis as well as processing. Presence of clouds also affects th…
CVPR MultiEarth 2023 Deforestation Estimation Challenge:SpaceVision4Amazon
Sunita Arya, S Manthira Moorthi, Debajyoti Dhar
In this paper, we present a deforestation estimation method based on attention guided UNet architecture using Electro-Optical (EO) and Synthetic Aperture Radar (SAR) satellite imag…
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution
Litu Rout, Saumyaa Shah, S Manthira Moorthi +1
In the past few years supervised and adversarial learning have been widely adopted in various complex computer vision tasks. It seems natural to wonder whether another branch of ar…
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis
Litu Rout, Indranil Misra, S Manthira Moorthi +1
Intersection of adversarial learning and satellite image processing is an emerging field in remote sensing. In this study, we intend to address synthesis of high resolution multi-s…
DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets
Litu Rout, Yatharath Bhateja, Ankur Garg +3
Convolutional Neural Network (CNN) is achieving remarkable progress in various computer vision tasks. In the past few years, the remote sensing community has observed Deep Neural N…