Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Konstantinos Karachristos"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 4, p 75 (2024)
Feature extraction plays a pivotal role in processing remote sensing datasets, especially in the realm of fully polarimetric data. This review investigates a variety of polarimetric decomposition techniques aimed at extracting comprehensive informati
Externí odkaz:
https://doaj.org/article/73462671fdcd458c9ce4c60471f5ce01
Publikováno v:
Geomatics, Vol 3, Iss 1, Pp 174-187 (2023)
In ship detection by means of Polarimetric SAR imagery, a very promising feature is the characterization of the pixels of the ship based on the elementary scattering mechanisms that can be extracted using different decomposition algorithms. Elementar
Externí odkaz:
https://doaj.org/article/f90d044987b84938bfc85637781a8e1c
Publikováno v:
Geomatics, Vol 2, Iss 3, Pp 323-337 (2022)
In this paper, a supervised land cover classification is presented based on the extracted information from polarimetric synthetic aperture radar (PolSAR) images. The analysis of the polarimetric scattering matrix is accomplished according to the Doub
Externí odkaz:
https://doaj.org/article/907142d1c2b943288b881827a445fc7a
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 695 (2022)
This study exploits Cameron’s decomposition for polarimetric data analysis and presents an information extraction process so that each PolSAR cell (pixel) is interpreted by two dominating elementary scattering mechanisms each one contributing to th
Externí odkaz:
https://doaj.org/article/4a2b0224ab454647a061948d38ba96b9
Publikováno v:
Advances in Remote Sensing. 10:102-114
A land cover classification procedure is presented utilizing the information content of fully polarimetric SAR images. The Cameron coherent target decomposition (CTD) is employed to characterize each pixel, using a set of canonical scattering mechani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c91e523becca10cb2681522c0977eefe
https://doi.org/10.4236/ars.2021.103007
https://doi.org/10.4236/ars.2021.103007