Corrections to &#x201c;A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data&#x201d; [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]

Affiliations

Maryam Pourshamsi: School of Geography, Geology and the Environment, Centre for Landscape and Climate Research, University of Leicester, Leicester, U.K.
Mariano Garcia: Department of Geology, Geography and Environment, University of Alcalá, Madrid, Spain
Marco Lavalle: Radar Science and Engineering Group, Jet Propul- sion Laboratory, California Institute of Technology, Pasadena, CA, USA
Heiko Balzter: School of Geography, Geology and the Environment, Centre for Landscape and Climate Research and National Centre for Earth Observation, University of Leicester, Leicester, U.K.

Presents corrections to the above mentioned paper.

ISSN: 1939-1404 (Print); 2151-1535 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Ocean engineering; Science: Physics: Geophysics. Cosmic physics
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4609443