Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521
Remote Sensing Editorial Office, MDPI, St. Alban-Anlage 66, 4052 Basel, Switzerland
Remote Sens. 2019, 11(15), 1788; https://doi.org/10.3390/rs11151788
Submission received: 26 July 2019
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Accepted: 29 July 2019
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Published: 31 July 2019
(This article belongs to the Special Issue Compact Polarimetric SAR)
Due to a technical problem, Figure 1 in [1] was not published properly, i.e., color wheel in Figure 1 [1] was distorted. Remote Sensing Editorial Office would like to update Figure 1 as follows:
Original Version:
Figure 1.
Examples of lunar impact crater polarimetric images as seen from the Arecibo Observatory (a) and an m-chi classification of hybrid dual-polarized data (b) from the Mini-RF radar aboard LRO (adapted from Figure 5 of [24]). The color wheel helps to retrieve meaning from the transition colors between primaries. In this example, yellow indicates dominant contributions from both random and double-bounce backscatter.
Figure 1.
Examples of lunar impact crater polarimetric images as seen from the Arecibo Observatory (a) and an m-chi classification of hybrid dual-polarized data (b) from the Mini-RF radar aboard LRO (adapted from Figure 5 of [24]). The color wheel helps to retrieve meaning from the transition colors between primaries. In this example, yellow indicates dominant contributions from both random and double-bounce backscatter.
Updated Version:
Figure 1.
Examples of lunar impact crater polarimetric images as seen from the Arecibo Observatory (a) and an m-chi classification of hybrid dual-polarized data (b) from the Mini-RF radar aboard LRO (adapted from Figure 5 of [24]). The color wheel helps to retrieve meaning from the transition colors between primaries. In this example, yellow indicates dominant contributions from both random and double-bounce backscatter.
Figure 1.
Examples of lunar impact crater polarimetric images as seen from the Arecibo Observatory (a) and an m-chi classification of hybrid dual-polarized data (b) from the Mini-RF radar aboard LRO (adapted from Figure 5 of [24]). The color wheel helps to retrieve meaning from the transition colors between primaries. In this example, yellow indicates dominant contributions from both random and double-bounce backscatter.
This update does not change any scientific result of the paper. We would like to apologize for any inconvenience caused to the readers by this change.
Reference
- Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521. [Google Scholar] [CrossRef]
© 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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MDPI and ACS Style
Remote Sensing Editorial Office. Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521. Remote Sens. 2019, 11, 1788. https://doi.org/10.3390/rs11151788
AMA Style
Remote Sensing Editorial Office. Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521. Remote Sensing. 2019; 11(15):1788. https://doi.org/10.3390/rs11151788
Chicago/Turabian StyleRemote Sensing Editorial Office. 2019. "Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521" Remote Sensing 11, no. 15: 1788. https://doi.org/10.3390/rs11151788
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