Fusion of ALOS and QuickBird imagery for mangrove analysis — A case study in Beilun estuary, Vietnam

Abstract

This study compared four image fusion techniques for mangrove studies in the Beilun estuary, Vietnam. The fused image was generated from an ALOS multi-spectral image scene and a Quickbird panchromatic image scene. Four quantitative indices (i.e. mean, standard deviation, entropy, and correlation coefficient) were used to compare and evaluate the results of the fusion methods. Variation of fusion effects was observed among different methods. In addition, fused images were used to identify mangrove biomass levels via spectral mixture analysis. The fusion results are not quite very well from a series of evaluations, two possible explanations of the failure results present in the conclusion, which provide the reference for the relevant research.