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PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data

Qi Zhang, Linlin Ge, Scott Hensley, Graciela Metternicht, Chang Liu, Ruiheng Zhang

2022ISPRS Journal of Photogrammetry and Remote Sensing53 citationsDOI

Topics & Concepts

LidarRemote sensingMean squared errorComputer scienceSharpeningImage resolutionInterferometric synthetic aperture radarSynthetic aperture radarEnvironmental scienceArtificial intelligenceGeologyMathematicsStatisticsSynthetic Aperture Radar (SAR) Applications and TechniquesRemote Sensing and LiDAR ApplicationsCryospheric studies and observations
PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data | Litcius