Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352079
