Title :
Information content in COSMO-SkyMed data
Author :
Lanfri, Sofia ; Palacio, Gabriela ; Lanfri, Mario ; Scavuzzo, Marco ; Frery, Alejandro C.
Author_Institution :
Inst. Mario Gulich, Comision Nac. de Actividades Espaciales, Cordoba, Argentina
Abstract :
We analyze the information content in COSMO-SkyMed data with different acquisition modes and polarizations. A set of discrimination problems ranging from difficult to simple using samples from different land cover types is presented. Several separability measures, i.e. stochastic distances and their derived hypothesis tests, are applied to pairs of samples, and their ability to discriminate is assessed. From the studied modes, class separability of water, pasture, forest and urban is enhanced if the lowest resolution mode is used. Both, ascending and left looking acquisition geometry yield better classification results. Distance measurement tests between samples of the same class give better results for HH polarization than for VV polarization suggesting that the analyzed cover properties are better described by that microwave configuration.
Keywords :
geophysical image processing; land cover; remote sensing by radar; synthetic aperture radar; terrain mapping; COSMO-SkyMed data; acquisition mode; discrimination problem; distance measurement tests; forest class separability; information content; land cover types; pasture class separability; polarization; separability measures; stochastic distances; urban class separability; water class separability; Computational modeling; Distance measurement; Extraterrestrial measurements; Orbits; Random variables; Satellites; Stochastic processes; Information content; SAR; Stochastic distances;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723281
