IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium | 2019
Log-Cumulants of the Finite Mixture Model and their Application to Statistical Analysis of Uavsar Data
Abstract
Since its first flight in 2007, the UAVSAR instrument of NASA has acquired a large number of fully Polarimetric SAR (PolSAR) data in very high spatial resolution. It is possible to observe small spatial features in this type of data, offering the opportunity to explore structures in the images. In general, the structured scenes would present multimodal or spiky histograms. The finite mixture model has great advantages in modeling this kind of data. In this paper, a type of important statistics called log-cumulants are derived for the finite mixture model. They are adopted to UAVSAR data analysis to determine statistical behaviors of different land types.