TanDEM-X multiparametric data features in sea ice classification over the Baltic sea

TanDEM-X multiparametric data features in sea ice classification over the Baltic sea

In this study, we assess the potential of X-band Interferometric Synthetic Aperture Radar imagery for automated classification of sea ice over the Baltic Sea. A bistatic SAR scene acquired by the TanDEM-X mission over the Bothnian Bay in March of 2012 was used in the analysis. Backscatter intensity,...

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Bibliographic Details
Main Authors: Marjan Marbouti, Oleg Antropov, Jaan Praks, Patrick B. Eriksson, Vahid Arabzadeh, Eero Rinne, Matti Leppäranta
Format: Article
Language:English
Published: Taylor & Francis Group 2021-04-01
Series:Geo-spatial Information Science
Subjects:
sea ice classification
random forests (rf)
maximum likelihood (ml)
support vector machine (svm)
backscatter
coherence
sar interferometry; synthetic aperture radar (sar)
Online Access:http://dx.doi.org/10.1080/10095020.2020.1845574

Internet

http://dx.doi.org/10.1080/10095020.2020.1845574

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