Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yasemin Yardimci Cetin"'
Autor:
Mustafa Kutuk, Izlen Geneci, Okan Bilge Ozdemir, Alper Koz, Okan Esenturk, Yasemin Yardimci Cetin, A. Aydin Alatan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8747-8763 (2023)
Explosive detection is crucial for public safety and confidence. Among various solutions for this purpose, hyperspectral imaging differs from its alternatives with its detection capability from standoff distances. However, the state-of-the-art for su
Externí odkaz:
https://doaj.org/article/be8c2c83451f4e64abdae50de3ad86a2
Publikováno v:
IET Computer Vision, Vol 14, Iss 7, Pp 493-504 (2020)
Hyperspectral imaging systems provide dense spectral information on the scene under investigation by collecting data from a high number of contiguous bands of the electromagnetic spectrum. The low spatial resolutions of these sensors frequently give
Externí odkaz:
https://doaj.org/article/b8f8aca293f7471c92e3503ec625dbe5
Publikováno v:
Journal of Imaging, Vol 9, Iss 2, p 25 (2023)
This paper proposes a new Hepatocellular Carcinoma (HCC) classification method utilizing a hyperspectral imaging system (HSI) integrated with a light microscope. Using our custom imaging system, we have captured 270 bands of hyperspectral images of h
Externí odkaz:
https://doaj.org/article/3ed18254726f4d368104a4c4cf43dcf8
Publikováno v:
IET Computer Vision. 14:493-504
Hyperspectral imaging systems provide dense spectral information on the scene under investigation by collecting data from a high number of contiguous bands of the electromagnetic spectrum. The low spatial resolutions of these sensors frequently give
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c582be42a083304a945ce23db4e4746
https://doi.org/10.1049/iet-cvi.2019.0784
https://doi.org/10.1049/iet-cvi.2019.0784
Autor:
Yasemin Yardimci Cetin, Mustafa Teke
Publikováno v:
Journal of Applied Remote Sensing. 15
Recent automated crop mapping via supervised learning-based methods have demonstrated unprecedented improvement over classical techniques. Classification accuracies of these methods degrade considerably in cross-year mapping. Cross-year crop mapping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd196b8dd1f4b3106b63a418c557c3ff
https://doi.org/10.1117/1.jrs.15.016517
https://doi.org/10.1117/1.jrs.15.016517
Publikováno v:
Remote Sensing; Volume 12; Issue 23; Pages: 3931
Remote Sensing, Vol 12, Iss 3931, p 3931 (2020)
Remote Sensing, Vol 12, Iss 3931, p 3931 (2020)
Hyperspectral image processing techniques, with their ability to provide information about the chemical compositions of materials, have great potential for pavement condition assessment. This study introduces a novel age-based pavement assessment met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::384cfd73b165af91a9e49142cc705adf
Publikováno v:
SIU
One of the global issues that threatens human and environmental health is the harmful substances leaking to the atmosphere as a result of industrial, agricultural and other activities. These substances intensively contain gaseous, such as; water vapo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccae72b1c492bef21cc836f1feab1d2b
https://doi.org/10.1109/siu.2018.8404475
https://doi.org/10.1109/siu.2018.8404475
Publikováno v:
Journal of Global Information Technology Management. 18:214-238
The objective of this study is to identify the impact of cultural differences on adoption of smartphones in Canada and Turkey and investigate the differences in patterns between the adoption behaviors of the two countries. Sequential explanatory desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b83c8ffe51c8675b467e85ae278e2987
https://doi.org/10.1080/1097198x.2015.1080052
https://doi.org/10.1080/1097198x.2015.1080052
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1462 (2024)
With the growing use of hyperspectral remote sensing payloads, there has been a significant increase in the number of hyperspectral remote sensing image archives, leading to a massive amount of collected data. This highlights the need for an efficien
Externí odkaz:
https://doaj.org/article/10a922c9d3ae47cabf7e50cd49700d88
Publikováno v:
SPIE Proceedings.
Hyperspectral images have been used in many areas including city planning, mining and military decision support systems. Hyperspectral image analysis techniques have a great potential for vegetation detection and classification with their capability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6205f2aba4524a90339512b9fa440b26
https://doi.org/10.1117/12.2262480
https://doi.org/10.1117/12.2262480