nbul 2004
Analysis
eling and
Interna-
Sensing,
eneration
otogram-
5—92.
sian Esti-
venth Eu-
pp. 852-
j|] Knowl-
n. In: In-
ote Sens-
or Vision.
metry of
irassman-
1eras and
ocal Ten-
a Antipo-
iple Con-
plications
Commu-
formance
yean Con-
formance
erator for
s, Corners
rcommis-
'ammetric
erial Data
nn Verlag,
City Mod-
Computer
ilirich FE,
Databases.
e Sensing
ain Monte
rmination.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
Growe, S., Schróder, T. and Liedtke, C.-E., 2000. Use
of Bayesian Networks as Judgement Calculus in a Knowl-
edge Based Image Interpretation System. In: International
Archives of Photogrammetry and Remote Sensing, Vol.
(33) B3/1, pp. 342-350.
Gruber, M., Leberl, F. and Perko, R., 2003. Paradigmen-
wechsel in der Photogrammetrie durch digitale Luftbil-
daufnahme. Photogrammetrie — Fernerkundung — Geoin-
formation 4/03, pp. 285-297.
Grün, A. and Li, H., 1994, Semi-Automatic Road Extrac-
tion by Dynamic Programming. In: International Archives
of Photogrammetry and Remote Sensing, Vol. (30) 3/1,
pp. 324-332.
Grün, A. and Wang, X., 2001. News from CyberCity Mod-
eler. In: Automatic Extraction of Man-Made Objects from
Aerial and Space Images (III), Balkema Publishers, Lisse,
The Netherlands, pp. 93-101.
Gülch, E., Müller, H. and Lábe, T., 1999. Integration of
Automatic Processes into Semi-Automatic Building Ex-
traction. In: International Archives of Photogrammetry
and Remote Sensing, Vol. (32) 3-2W5, pp. 177-186.
Hartley, R. and Zisserman, A., 2000. Multiple View Ge-
ometry in Computer Vision. Cambridge University Press,
Cambridge, UK.
Heipke, C., 1995. State-of-the-Art of Digital Pho-
~ togrammetric Workstations for Topographic Applications.
Photogrammetric Engineering & Remote Sensing 61(1),
pp. 49-56.
Heipke, C., Englisch, A., Speer, T., Stier, S. and Kutka, R.,
1994. Semi-Automatic Extraction of Roads from Aerial
Images. In: International Archives of Photogrammetry and
Remote Sensing, Vol. (30) 3/1, pp. 353—360.
Heipke, C., Mayer, H., Wiedemann, C. and Jamet, O.,
1997. Evaluation of Automatic Road Extraction. In: Inter-
national Archives of Photogrammetry and Remote Sens-
ing, Vol. (32) 3-2W3, pp. 47—56.
Heuel, S., 2001. Points, Lines and Planes and Their Op-
timal Estimation. In: Pattern Recognition - DAGM 2001,
Springer-Verlag, Berlin, Germany, pp. 92-99.
Hinz, A., Dorstel, C. and Heier, H., 2001. DMC — Digital
Modular Camera: Systemkonzept und Ablauf der Daten-
verarbeitung. Photogrammetrie — Fernerkundung — Geoin-
formation 3/01, pp. 189-198.
Hinz, S., 2003. Integrating Local and Global Features
for Vehicle Detection in High Resolution Aerial Imagery.
In: The International Archives of the Photogrammetry, Re-
mote Sensing and Spatial Information Sciences, Vol. (34)
3/WS8, pp. 119-124.
Hu, J., You, S. and Neumann, U., 2003. Approaches to
Large-Scale Urban Modeling. IEEE Computer Graphics
and Applications 23(6), pp. 62—69.
42]
Jain, A., Duin, P. and Mao, J., 2000. Statistical Pattern
Recognition: A Review. IEEE Transactions on Pattern
Analysis and Machine Intelligence 22(1), pp. 4—37.
Kim, Z. and Nevatia, R., 2003. Expandable Bayesian Net-
works for 3D Object Description from Multiple Views and
Multiple Mode Inputs. IEEE Transactions on Pattern Anal-
ysis and Machine Intelligence 25(6), pp. 769—774.
Kimia, B., Tannenbaum, A. and Zucker, S., 1995. Shapes,
Shocks, and Deformations I: The Components of Two-
Dimensional Shape and the Reaction-Diffussion Space. In-
ternational Journal of Computer Vision 15(3), pp. 189—
224.
Kolmogorov, V. and Zabih, R., 2001. Computing Vi-
sual Correspondence with Occlusions Using Graph Cuts.
In: Eighth International Conference on Computer Vision,
pp. 508—515.
Kosslyn, S., 1994. Image and Brain. MIT Press, Cam-
bridge, USA.
Kóthe, U., 1996. Local Appropriate Scale in Morphologi-
cal Scale-Space. In: Fourth European Conference on Com-
puter Vision, Vol. I, pp. 219-228.
Kôthe, U., 2003. Edge and Junction Detection with an Im-
proved Structure Tensor. In: Pattern Recognition - DAGM
2003, Springer-Verlag, Berlin, Germany, pp. 25-32.
Kulschewski, K., 1999. Recognition of Buildings Using a
Dynamic Bayesian Network. In: Semantic Modeling for
the Acquisition of Topographic Information from Images
and Maps, SMATI '99, München, pp. 121-132.
Leberl, F., Gruber, M., Ponticelli, M., Bernoegger, S. and
Perko, R., 2003. The Ultracam Large Format Aerial Digital
Camera System. In: ASPRS Annual Convention.
Lindeberg, T., 1994. Scale-Space Theory in Computer Vi-
sion. Kluwer Academic Publishers, Boston, USA.
Lowe, D., 2004. Distintive Image Features from Scale-
Invariant Keypoints. Accepted for publication in Interna-
tional Journal of Computer Vision.
Martin, D., Fowlkes, C. and Malik, J., 2004. Learning to
Detect Natural Image Boundaries Using Local Brightness,
Color, and Texture Cues. IEEE Transactions on Pattern
Analysis and Machine Intelligence 26, pp. in press.
Mayer, H., 1999. Automatic Object Extraction from Aerial
Imagery — A Survey Focusing on Buildings. Computer
Vision and Image Understanding 74(2), pp. 138-149.
Mayer, H., 2003. Analysis of Means to Improve Cooper-
ative Disparity Estimation. In: The International Archives
of the Photogrammetry, Remote Sensing and Spatial Infor-
mation Sciences, Vol. (34) 3/W8, pp. 25-31.
Mayer, H. and Steger, C., 1998. Scale-Space Events
and Their Link to Abstraction for Road Extraction. IS-
PRS Journal of Photogrammetry and Remote Sensing 53,
pp. 62-75.
