Bayesian Object Recognition for the Analysis of Complex Forest Scenes in Airborne Laser Scanner Data

Abstract

Bayesian object recognition is applied to the analysis of complex forest object configurations measured in high-density airborne laser scanning (LIDAR) data. With the emergence of high-resolution active remote sensing technologies, highly detailed, spatially explicit forest measurement information can be extracted through the application of statistical… (More)

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