Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data
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DOI: 10.7717/peerj.11790
Abstract: Airborne remote sensing offers unprecedented opportunities to efficiently monitor vegetation, but methods to delineate and classify individual plant species using the collected data are still actively being developed and improved. The Integrating Data science with… read more here.
Keywords: hyperspectral lidar; classification; plant; remote sensing ... See more keywords