Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Georgios Pilikos"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9936-9944 (2024)
Synthetic aperture radar (SAR) is an indispensable tool for marine monitoring. Conventional data processing involves data down-linking and on-ground operations for image focusing, analysis, and ship detection. These steps take significant amount of t
Externí odkaz:
https://doaj.org/article/2768131da78e4e25ad6f70dbe65aece5
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1125 (2024)
GNSS Reflectometry (GNSS-R) is an emerging technique for the remote sensing of the environment. Traditional GNSS-R bio-geophysical parameter retrieval algorithms and deep learning models utilize observables derived from only the peak power of the del
Externí odkaz:
https://doaj.org/article/f65d441c873141de807566a3c928eee1
In plane-wave imaging, multiple unfocused ultrasound waves are transmitted into a medium of interest from different angles and an image is formed from the recorded reflections. The number of plane waves used leads to a trade-off between frame-rate an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d942568a3db3baec599671bcd9a457
https://ir.cwi.nl/pub/31206
https://ir.cwi.nl/pub/31206
In many ultrasonic imaging systems, data acquisition and image formation are performed on separate computing devices. Data transmission is becoming a bottleneck, thus, efficient data compression is essential. Compression rates can be improved by cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca00ffc23f2d8f9fcf967c2caa84d55
https://ir.cwi.nl/pub/30377
https://ir.cwi.nl/pub/30377
Autor:
Georgios Pilikos, A. C. Faul
Publikováno v:
GEOPHYSICS. 82:O91-O104
Extracting the maximum possible information from the available measurements is a challenging task but is required when sensing seismic signals in inaccessible locations. Compressive sensing (CS) is a framework that allows reconstruction of sparse sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8c1423caaeff33472d23af780f89863
https://doi.org/10.1190/geo2016-0373.1
https://doi.org/10.1190/geo2016-0373.1
Autor:
Georgios Pilikos, Neil Philip
Publikováno v:
DSL
Compressive Sensing for seismic surveys uses sparse signal assumptions to reconstruct the reflected wave field. In the past, most methods utilised dictionaries of fixed basis functions for sparse representation. Recently, algorithms that learn the ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbe0532effd183c21f366891e41b1880
https://doi.org/10.1109/icdsp.2018.8631841
https://doi.org/10.1109/icdsp.2018.8631841
Publikováno v:
SEG Technical Program Expanded Abstracts 2017.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::816487d992c3c4a9f1fdfb92f9f353cd
https://doi.org/10.1190/segam2017-17558742.1
https://doi.org/10.1190/segam2017-17558742.1