Corrections to "A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data" [Oct 19 3453-3463]

Corrections to "A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data" [Oct 19 3453-3463]

Presents corrections to the above mentioned paper.

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Bibliographische Detailangaben
Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing 2020, Vol.13, p.566-566
Hauptverfasser: Pourshamsi, Maryam, Garcia, Mariano, Lavalle, Marco, Balzter, Heiko
Format: Artikel
Sprache:eng
Schlagworte:
Corrections
Data integration
Learning algorithms
Lidar
Lidar radar
Machine learning
Plant cover
Sensor fusion
Support vector machines
Synthetic aperture radar
Tropical climate
Tropical forests
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Beschreibung
Zusammenfassung:Presents corrections to the above mentioned paper.
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2020.2968779