A complex data based building edge detector for TanDEM-X Mission

Author

Baselice, Fabio ; Ferraioli, Giampaolo ; Reale, Diego

Author_Institution

Dipartimeto per le Tecnol., Univ. degli Studi di Napoli Parthenope, Naples, Italy

fYear

2012

fDate

22-27 July 2012

Firstpage

6629

Lastpage

6632

Abstract

Markov Random Fields (MRF) are a powerful and wide adopted tool in image processing. MRFS together with Bayesian Estimation Theory can be used for detecting edges of man made structures in Synthetic Aperture Radar images. In this paper we present a method developed in the Markovian-Bayesian framework which is particularly suited to work in case of high coherence SAR interferometric images pairs, such as TanDEM-X Mission data. A real case study, consisting of a pair of complex TerraSAR-X images, is presented, showing the performances of the algorithm.

Keywords

Bayes methods; Markov processes; geophysical image processing; geophysical techniques; radar imaging; synthetic aperture radar; Bayesian estimation theory; Markov random fields; Markovian-Bayesian framework; SAR interferometric images; TANDEM-X mission data; algorithm performances; complex TerraSAR-X images; complex data; image processing; man made structures; synthetic aperture radar; Bayesian methods; Buildings; Image edge detection; Markov random fields; Optical interferometry; Synthetic aperture radar; Bayesian Estimation Theory; Edge Detection; Markov Random Field; TanDEM-X Mission;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352079

Filename

6352079