Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Muhammad Fawad Akbar Khan"'
Autor:
Fakhar Elahi, Khan Muhammad, Shahab Ud Din, Muhammad Fawad Akbar Khan, Shahid Bashir, Muhammad Hanif
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12147 (2022)
Artificial intelligence (AI)-based multispectral remote sensing has been the best supporting tool using limited resources to enhance the lithological mapping abilities with accuracy, supported by ground truthing through traditional mapping techniques
Externí odkaz:
https://doaj.org/article/cdbe37e84ce240319590c0860b429987
Autor:
Shahab Ud Din, Khan Muhammad, Muhammad Fawad Akbar Khan, Shahid Bashir, Muhammad Sajid, Asif Khan
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11486 (2021)
Despite low spatial resolutions, thermal infrared bands (TIRs) are generally more suitable for mineral mapping due to fundamental tones and high penetration in vegetated areas compared to shortwave infrared (SWIR) bands. However, the weak overtone co
Externí odkaz:
https://doaj.org/article/7335b58baf714472bfd268512e0166c1
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 2, p 58 (2021)
Low-resolution Geological Survey of Pakistan (GSP) maps surrounding the region of interest show oolitic and fossiliferous limestone occurrences correspondingly in Samanasuk, Lockhart, and Margalla hill formations in the Hazara division, Pakistan. Mac
Externí odkaz:
https://doaj.org/article/29b76edbce504244be4c377cb59c8b8e
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a85e996b359a3190c20eb4466605ab3
https://doi.org/10.1109/icmla55696.2022.00145
https://doi.org/10.1109/icmla55696.2022.00145
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a02dd4e4deff4c9fbcdaa6994b019569
https://doi.org/10.1109/dsaa54385.2022.10032333
https://doi.org/10.1109/dsaa54385.2022.10032333