Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Prashanth R. Marpu"'
Autor:
Rasha Alshehhi, Prashanth R. Marpu
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTChange detection in high-resolution satellite images is essential to understanding the land surface (e.g. agriculture and urban change) or maritime surface (e.g. oil spilling). Many deep-learning-based change detection methods have been propo
Externí odkaz:
https://doaj.org/article/c75a0854aeab4f87bc699d5187994d4b
Publikováno v:
IEEE Access, Vol 11, Pp 34709-34717 (2023)
Despite the reliability concerns that are associated with the I2C bus, it is still one of the most popular on-board data busses to be used in nanosatellite missions. This paper provides a detailed fault analysis for the I2C bus in the context of nano
Externí odkaz:
https://doaj.org/article/c822da82ee9a45da9f2e6091a6a4499e
Autor:
Maen Takruri, Abubakar Abubakar, Abdul-Halim Jallad, Basel Altawil, Prashanth R. Marpu, Amine Bermak
Publikováno v:
IEEE Access, Vol 10, Pp 23489-23496 (2022)
In this paper, we propose a machine learning system for the estimation of atmospheric particulate matter (PM) concentration, specifically, particles with a maximum diameter of $2.5{\mu }\text{m}$ . These very fine particles, also known as PM2.5 parti
Externí odkaz:
https://doaj.org/article/bdb5be485e6a4106be9c64b17fd8bf47
Publikováno v:
IEEE Access, Vol 9, Pp 107791-107803 (2021)
The standardization of the physical aspects of nanosatellites (also known as CubeSats) and their wide adoption in academia and industry has made the mass production and availability of off-the-shelf components possible. While this has led to a signif
Externí odkaz:
https://doaj.org/article/4e584717e800411587f389aff74ef49d
Autor:
Rasha Alshehhi, Prashanth R. Marpu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102379- (2021)
The extraction of man-made structures from high-resolution images plays a vital role in various urban applications. This task is regularly complicated due to the heterogeneous appearance of the objects in the satellite images. In this work, we propos
Externí odkaz:
https://doaj.org/article/d91f8a3ca84f410b884ffbe0cc938de9
Autor:
Amrita N. Chaurasia, Maulik G. Dave, Reshma M. Parmar, Bimal Bhattacharya, Prashanth R. Marpu, Aditya Singh, N. S. R. Krishnayya
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2130 (2020)
Filling in the void between forest ecology and remote sensing through monitoring biodiversity variables is of great interest. In this study, we utilized imaging spectroscopy data from the ISRO–NASA Airborne Visible InfraRed Imaging Spectrometer—N
Externí odkaz:
https://doaj.org/article/b7e6d96cdd8b416a911f36d9fa6b55e2
Autor:
Rocio Gonzalez, Taha B. M. J. Ouarda, Prashanth R. Marpu, Mariam M. Allam, Elfatih A. B. Eltahir, Simon Pearson
Publikováno v:
Water, Vol 8, Iss 9, p 415 (2016)
Population growth and economic development have impacted the capacity of water resources to meet demands in a number of arid countries. This study focuses on the United Arab Emirates (UAE) where low rainfall, high rate of growth and agricultural deve
Externí odkaz:
https://doaj.org/article/b1813a11b84d4ca2a008ad09eb1b95f9
Publikováno v:
Proceedings of SPIE.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abeb8677c22e939b095c6fa4ac9e2fec
https://doi.org/10.1117/12.830347
https://doi.org/10.1117/12.830347