5 noisy, lines 
several gaps. 
using prior 
res. Fig. 6.6 
ealing. Many 
here the ratio 
he ratio line 
and does not 
following the 
‘ulness of the 
ed annealing 
omparison to 
1 be realized. 
d center line 
1e estimation 
se Fig. 6.9). 
TIONS 
linear struc- 
| a Bayesian 
urvilinearity. 
e MRF line 
AR intensity 
acting linear 
ntly, we con- 
pace integra- 
using local 
et al., 1993) 
ne following 
ly be met by 
sks. A more 
id or a multi- 
)93; Bouman 
s subjects of 
ding the test 
|. Operators for 
ian Journal of 
d MFR Model 
IGARSS ‘92, 
n from Radar 
arces Develop- 
ment and Environmental Management, Enschede, pp. 99-102. 
Bouman C. A., Shapiro M. [1994]: A Multiscale Random Field Model for 
Bayesian Image Segmentation, IEEE Transactions on Image 
Processing, Vol. 3, No. 2, pp. 162-177. 
Bovik A. C. [1988]: On Detecting Edges in Speckle Imagery, IEEE 
Transactions on Acoustics, Speech, and Signal Processing, Vol. 36, 
No. 10, pp. 1618-1627. 
Burns J., Huertas A., Nevatia R. [1981]: Object Detection in Synthetic 
Aperture Radar Images, Image Understanding Research, Proc., Univ. 
of Southern California, pp. 38-51. 
Busch A. [1992]: Bayes-Statistik und Markoff-Felder fiir die Restau- 
rierung digitaler Bilder, Deutsche Geodätische Kommission, C, No. 
396, 74 pages. 
Caves R. G., Harley P. J., Quegan S. [1992]: Matching Map Features to 
Synthetic Aperture Radar (SAR) Images Using Template Matching, 
IEEE Transactions on Geoscience and Remote Sensing, Vol. 30, No. 
4, pp. 680-685. 
Caves R.G. [1993]: Automatic Matching of Features in Synthetic Aper- 
ture Radar Data to Digital Map Data, Ph.D. thesis, University of 
Sheffield, Dept. of Applied and Computational Mathematics. 
Chou P.B., Cooper P.R., Swain M.J., Brown C.M., Wixson L.E. [1993]: 
Probabilistic Network Inference for Cooperative High and Low 
Level Vision, in: Chellappa R., Jain A., Markov Random Fields. 
Theory and Applications, Academic Press, Boston, pp. 211-243. 
Geman S., Geman D. [1984]: Stochastic Relaxation, Gibbs Distribution, 
and the Bayesian Restoration of Images, IEEE Transactions on 
Pattern Analysis and Machine Intelligence, Vol. PAMI-6, No. 6, pp. 
721-741. 
Giess S. C., 1984: Edge detection in SAR imagery using gradient opera- 
tors, Royal Signals and Radar Establishment, St. Andrews Rd., Great 
Malvern, Worcestershire, England, RSRE Memorandum No. 3743. 
Green I. J., Sawyer F. G., Dunster S. B. [1993]: SAR Image Feature 
Extraction System - A Pre-Operational Application of ERS-1 SAR, 
Operationalization of Remote Sensing, Proc., Enschede, Vol. 5, pp. 
23-32. 
Guyon X. [1995]: Random Fields on a Network. Modeling, Statistics, and 
Applications, Springer Verlag, New York, 255 pages. 
Hellwich O., Streck C. [1996]: Linear Structures in SAR Coherence Data, 
IGARSS ‘96, Lincoln, in press. 
Hendry A., Quegan S., Wood J. [1988]: The Visibility of Linear Features 
in SAR Images, IGARSS ‘88, Edinburgh. 
Koch K.R, Schmidt M. [1994]: Deterministische und stochastische 
Signale, Dümmler, Bonn. 
Kwok R. [1989]: Segmentation of SAR Images, IGARSS ‘89, Vancouver, 
pp. 1228-1230. 
Kóster M. [1995]: Kontextsensitive Bildinterpretation mit Markoff-Zu- 
fallsfeldern, Deutsche Geodáütische Kommission, C, No. 444, 76 
pages. 
Lakshmanan S., Derin H. [1993]: Gaussian Markov Random Fields at 
Multiple Resolutions, in: Chellappa R., Jain A., Markov Random 
Fields. Theory and Applications, Academic Press, Boston, pp. 131- 
157. 
Leberl F. W. [1990]: Radargrammetric Image Processing, Artech House, 
Norwood, MA. 
Lopes A., Nezry E., Touzi R., Laur H. [1993]: Structure Detection and 
Statistical Adaptive Speckle Filtering in SAR Images, Int. J. of 
Remote Sensing, Vol. 14, No. 9, pp. 1735-1758. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996 
Oliver C. J. [1991]: Information from SAR Images, J. of Physics D, 
Applied Physics, Vol. 24, No. 9, pp. 1493-1514. 
Quegan S., Hendry A., Skingley J. [1986]: Analysis of Synthetic Aperture 
Radar Images Over Land, Mathematics in Remote Sensing, Proc., 
Danbury, pp. 365-379. 
Richards J.A. [1993]: Remote Sensing Digital Image Analysis, Springer 
Verlag, Berlin, 2nd edition, 340 pages. 
Samadani R., Vesecky J. F. [1990]: Finding Curvilinear Features in 
Speckled Images, IEEE Transactions on Geoscience and Remote 
Sensing, Vol. 28, No. 4, pp. 669-673. 
Schistad Solberg A.H., Taxt T. [1994]: Classification of Multisource 
Satellite Imagery Based on a Markov Random Field Model, Image 
and Signal Processing for Remote Sensing, Rome, SPIE Proc., Vol. 
2315, pp. 322-331. 
Skingley J., Rye A. J. [1987]: The Hough Transform Applied to SAR 
Images for Thin Line Detection, Pattern Recognition Letters, Vol. 6, 
No. 1, pp. 61-67. 
Tough RJ.A., Blacknell D., Quegan S. [1994a]: Polarimetric Radar: 
Mathematical Models and their Consequences, submitted to the Pro- 
ceedings of the Royal Society. 
Tough R.J.A., Blacknell D., Quegan S. [1994b]: Estimators and Distribu- 
tions in Single and Multi-Look Polarimetric and Interferometric 
Data, IGARSS ‘94, Pasadena, Electronical Digest. 
Touzi R., Lopes A., Bousquet P. [1988]: A Statistical and Geometrical 
Edge Detector for SAR Images, IEEE Transactions on Geoscience 
and Remote Sensing, Vol. 26, No. 6, pp. 764-773. 
Williams L.R., Jacobs D.W. [1995]: Stochastic Completion Fields: A 
Neural Model of Illusory Contour Shape and Salience, 5th ICCV, 
Cambridge, pp. 408-415. 
Winkler G. [1995]: Image Analysis, Random Fields and Dynamic Monte 
Carlo Methods, Applications of Mathematics, Vol. 27, Springer- 
Verlag, Berlin. 
Wood J. W. [1985]: Line Finding Algorithms for SAR, Royal Signals and 
Radar Est., St. Andrews Rd., Great Malvern, Worcestershire, Eng- 
land, RSRE Memorandum No. 3841. 
319