Multichannel InSAR Building Edge Detection

In this paper, the problem of building edge detection in synthetic aperture radar images is addressed. A new stochastic approach based on local Gaussian Markov random field (LGMRF) is proposed. The algorithm finds the edges of buildings starting from the estimation of the hyperparameters of the LGMRF model. The hyperparameters are seen as an indicator of the spatial correlation between adjacent pixels. The procedure is applied on interferometric data, using single-channel and multichannel configurations. The algorithm has been tested on simulated and real data, providing good results in both cases.

[1]  Rod Cook,et al.  Segmentation and simulated annealing , 1996, Remote Sensing.

[2]  William K. Pratt,et al.  Digital Image Processing: PIKS Inside , 2001 .

[3]  Vito Pascazio,et al.  Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parameters , 2002, IEEE Trans. Image Process..

[4]  Philippe Marthon,et al.  An optimal multiedge detector for SAR image segmentation , 1998, IEEE Trans. Geosci. Remote. Sens..

[5]  Stan Z. Li,et al.  Markov Random Field Modeling in Image Analysis , 2001, Computer Science Workbench.

[6]  Ken D. Sauer,et al.  ML parameter estimation for Markov random fields with applications to Bayesian tomography , 1998, IEEE Trans. Image Process..

[7]  C. Oliver,et al.  Optimum edge detection in SAR , 1996 .

[8]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[9]  Speckle Models.  On Detecting Edges in Speckle Imagery , 1988 .

[10]  Fuk K. Li,et al.  Synthetic aperture radar interferometry , 2000, Proceedings of the IEEE.

[11]  Henri Maître,et al.  Retrieval of building shapes from shadows in high resolution SAR interferometric images , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[12]  G. Franceschetti,et al.  Iterative homomorphic technique for speckle reduction in synthetic-aperture radar imaging , 1995 .

[13]  Paolo Gamba,et al.  Detection and extraction of buildings from interferometric SAR data , 1999, IEEE Trans. Geosci. Remote. Sens..

[14]  Uwe Soergel,et al.  Building Recognition From Multi-Aspect High-Resolution InSAR Data in Urban Areas , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Richard K. Moore,et al.  Microwave Remote Sensing , 1999 .

[16]  A. Lopes,et al.  A statistical and geometrical edge detector for SAR images , 1988 .

[17]  R. Bolter,et al.  Reconstruction of man-made objects from high resolution SAR images , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

[18]  Jong-Sen Lee,et al.  Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Donald Geman,et al.  Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .