Dual polarised Entropy/alpha decomposition and coherence optimisation for improved forest height mapping

In this paper we propose an approach implementing the dual polarised Entropy/alpha decomposition [1] and coherence optimisation [8] for improved forest mapping. We explore the dual polarised Entropy/alpha decomposition for better forest/non-forest discrimination and the multiple partial polarimetric coherence optimisation for subsequent forest canopy/height estimation. The integrated forest discrimination and coherence-forest height estimation for the task of producing forest extent, change and trend information are examined with in situ LiDAR data.