Title :
The generalized statistical complexity of PolSAR data
Author :
Frery, Alejandro C. ; de Almeida, Eliana S. ; Rosso, Osvaldo A.
Author_Institution :
LaCCAN-Lab. de Comput. Cienc. e Analise Numerica, Univ. Fed. de Alagoas, Maceio, Brazil
Abstract :
This paper presents and discusses the use of a new feature for PolSAR imagery: the Generalized Statistical Complexity. This measure is able to capture the disorder of the data by means of the entropy, as well as its departure from a reference distribution. The latter component is obtained by measuring a stochastic distance between two models: the G0 and the Gamma laws. Preliminary results on the intensity components of AIRSAR image of San Francisco are encouraging.
Keywords :
entropy; radar polarimetry; remote sensing by radar; stochastic processes; synthetic aperture radar; AIRSAR image intensity components; G0 model; PolSAR data; PolSAR imagery feature; San Francisco; data disorder capture; entropy; gamma law model; generalized statistical complexity; reference distribution departure; stochastic distance measurement; Complexity theory; Computational modeling; Entropy; Feature extraction; Sea measurements; Stochastic processes; Synthetic aperture radar;
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
Conference_Location :
Tsukuba
