Zobrazeno 1 - 10
of 446
pro vyhledávání: '"Moorthi, S."'
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 km altitude, it features a panchromatic (PAN) band offering a Ground
Externí odkaz:
http://arxiv.org/abs/2410.23319
Autor:
Garg, Ankur, Thapa, Nitesh, Sangar, Ghansham, Gaur, Neha, Sarkar, Meenakshi, Moorthi, S. Manthira, Dhar, Debajyoti
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. It provides a ground sampling distance of 55 meters at nadir, coverin
Externí odkaz:
http://arxiv.org/abs/2410.21307
Hyperspectral images enable precise identification of ground objects by capturing their spectral signatures with fine spectral resolution.While high spatial resolution further enhances this capability, increasing spatial resolution through hardware l
Externí odkaz:
http://arxiv.org/abs/2410.18691
Autor:
Garg, Ankur, Shukla, Tushar, Joshi, Purvee, Ganguly, Debojyoti, Gujarati, Ashwin, Sarkar, Meenakshi, Babu, KN, Pandya, Mehul, Moorthi, S. Manthira, Dhar, Debajyoti
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 innovative imaging methods employed in OCM-3 and the transformative po
Externí odkaz:
http://arxiv.org/abs/2410.18690
Autor:
Garg, Ankur, Shukla, Tushar, Arya, Sunita, Sangar, Ghansham, Roy, Sampa, Sarkar, Meenakshi, Moorthi, S. Manthira, Dhar, Debajyoti
The Ocean Color Monitor-3, launched aboard Oceansat-3, represents a significant advancement in ocean observation technology, building upon the capabilities of its predecessors. With thirteen spectral bands, OCM-3 enhances feature identification and a
Externí odkaz:
http://arxiv.org/abs/2411.04131
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 imagery. For optical images, Landsat-8 and for SAR imagery, Sentinel-1 dat
Externí odkaz:
http://arxiv.org/abs/2307.04715
Publikováno v:
In Journal of Molecular Liquids 15 August 2024 408
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part F
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 artificial intelligence, commonly known as Reinforcement Learning (RL) c
Externí odkaz:
http://arxiv.org/abs/2004.03879
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-spectral satellite imagery using adversarial learning. Guided by the di
Externí odkaz:
http://arxiv.org/abs/2004.03867