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20192024
most citedDeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets

5 citations · 6 across the 10 of their papers we have counts for

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eess.IV2024

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…

eess.IV2024

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…

eess.IV2024

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.…

eess.IV2024★ 1 cited

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…

eess.IV2024

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…

eess.IV2020

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…