How to cite:
Tings, B.; Jacobsen, S.; Wiehle, S.; Schwarz, E.; Daedelow, H. X-Band/C-Band-Comparison of Ship Wake Detectability. Preprints2020, 2020120480. https://doi.org/10.20944/preprints202012.0480.v1
Tings, B.; Jacobsen, S.; Wiehle, S.; Schwarz, E.; Daedelow, H. X-Band/C-Band-Comparison of Ship Wake Detectability. Preprints 2020, 2020120480. https://doi.org/10.20944/preprints202012.0480.v1
Tings, B.; Jacobsen, S.; Wiehle, S.; Schwarz, E.; Daedelow, H. X-Band/C-Band-Comparison of Ship Wake Detectability. Preprints2020, 2020120480. https://doi.org/10.20944/preprints202012.0480.v1
APA Style
Tings, B., Jacobsen, S., Wiehle, S., Schwarz, E., & Daedelow, H. (2020). X-Band/C-Band-Comparison of Ship Wake Detectability. Preprints. https://doi.org/10.20944/preprints202012.0480.v1
Chicago/Turabian Style
Tings, B., Egbert Schwarz and Holger Daedelow. 2020 "X-Band/C-Band-Comparison of Ship Wake Detectability" Preprints. https://doi.org/10.20944/preprints202012.0480.v1
Abstract
Recent studies investigated the detectability of ship wake signatures on SAR imagery using a large number of SAR images collocated with Automatic Identification System data for training machine learning models. These detectability models are in agreement with oceanographic expectations from preceding studies and can therefore be used for comparing the performance of different SAR sensors in terms of wake detectability. Previous model comparisons showed better wake detection performance of TerraSAR-X (TS-X) than of RADARSAT-2 (RS2) and Sentinel-1 (S1). A comparison between CosmoSkymed (CSK) and RS2 is performed here, to examine the hypothesis that X-Band is generally better for wake detection than C-Band. Finally, this hypothesis is not confirmed, as the detectability models for TS-X, CSK and RS2 reveal similar performances. A comparison of wake detection performance should take the individual wake components into account separately.
Keywords
Synthetic Aperture Radar; wake detection; detectability model; machine learning; Support Vector Machine; ocean surface imaging
Subject
Physical Sciences, Acoustics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
