Title :
A Bayesian technique for terrain mapping using multi-frequency ground based interferometric SAR systems
Author :
Ferraiuolo, G. ; Leva, D. ; Nico, G. ; Pascazio, V. ; Schirinzi, G. ; Tarchi, D.
Author_Institution :
Dipt. di Ingegneria Elettronica e Telecomunicazioni, Universita di Napoli Federico II
Abstract :
In this paper we present some preliminary results of the application on real data of a statistical method to solve the height estimation problem in Interferometric Synthetic Aperture Radar (InSAR). The method is based on maximum a posteriori (MAP) estimation and Markov Random Fields (MRF) image modeling, and makes use of multifrequency/baseline SAR raw data. The real data set is acquired by a Ground-Based SAR (GB-SAR) interferometer based on the LiSA technology
Keywords :
Bayes methods; Markov processes; interferometry; synthetic aperture radar; terrain mapping; Bayesian technique; GB-SAR; Ground Based InSAR; Interferometric Synthetic Aperture Radar; LiSA technology; MAP estimation; MRF image modeling; Markov Random Fields; Maximum a Posteriori; height estimation problem; multifrequency/baseline SAR raw data; terrain mapping; Bayesian methods; Data security; Frequency; Image reconstruction; Markov random fields; Radar antennas; Rails; Synthetic aperture radar; Synthetic aperture radar interferometry; Terrain mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369065
