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