Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jakob Gawlikowski"'
Publikováno v:
Informatics in Medicine Unlocked, Vol 48, Iss , Pp 101520- (2024)
Prototypical networks (PN) have emerged as one of multiple effective approaches for few-shot learning (FSL), even in medical image classification. This study focuses on implementing a PN for skin lesion classification to assess its performance, gener
Externí odkaz:
https://doaj.org/article/1ef067700d5f47dfb20a03d15bd99fa7
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-21 (2023)
Abstract The fusion of synthetic aperture radar (SAR) and optical satellite data is widely used for deep learning based scene classification. Counter-intuitively such neural networks are still sensitive to changes in single data sources, which can le
Externí odkaz:
https://doaj.org/article/749b8cbeb07247c1b6b5f04690236e73
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9976-9986 (2022)
Most of Earth is covered by haze or clouds, impeding the constant monitoring of our planet. Preceding works have documented the detrimental effects of cloud coverage on remote sensing applications and proposed ways to approach this issue. However, up
Externí odkaz:
https://doaj.org/article/442d1fa56a174d3597bc535c5c2a875c
Publikováno v:
IGARSS
In remote sensing, distributional mismatch between the training and test data may arise due to several reasons, including unseen classes in the test data, differences in the geographic area, and multi-sensor differences. Deep learning based models ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10ea62d3c403bdb64c15e32fa2dd0c85
https://doi.org/10.1109/igarss47720.2021.9553266
https://doi.org/10.1109/igarss47720.2021.9553266
Publikováno v:
IGARSS
Local Climate Zone (LCZ) classification is the most commonly used scheme to analyze how local urban morphology affects the climate of local areas. Classification methods are often based on remote sensing data or on a fusion of several data sources. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5be3d0a1acb611316fa55e7495cfdd5b
https://doi.org/10.1109/igarss39084.2020.9324234
https://doi.org/10.1109/igarss39084.2020.9324234