Full text: Proceedings, XXth congress (Part 4)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 
separately. The segmentation of field areas based on the 
gradients in coarse scale of the imagery is carried out using a 
watershed segmentation. In the future, the use of colour and/or 
texture may stabilize the segmentation step. Extracted and 
grouped lines with different criteria in a fine scale and 
additional introduced prior knowledge from GIS-data divide the 
field areas in detailed and improved preliminary results. Finally, 
the derived field boundaries are geometrically refined using a 
snake algorithm. The results demonstrate the potential of the 
proposed solution. Future work will be devoted to the 
development of an integrated network of snakes for all field 
areas of the region of interest together, not only a snake 
initialization for each field separately, in order to improve the 
topological correctness. 
The proposed strategy concerning the extraction of wind 
erosion obstacles has to be investigated in detail and the derived 
results have to be evaluated. In addition, future work will be 
done on the combined evaluation of the different objects 
deriving a refined and integrated final result. 
ACKNOWLEDGEMENTS 
This work is part of the programme GEOTECHNOLOGIEN 
funded by the Federal Ministry for Education and Research 
(BMBF) and the German Rescarch Council (DFG) with the 
publication no. GEOTECH-67. 
REFERENCES 
Anderson, J. E., Fischer, R. L. and Deloach, S. R., 1999. 
Remote Sensing and Precision Agriculture: Ready for Harvest 
or Still Maturing?, Photogrammetric Engineering & Remote 
Sensing, Vol. 65, No. 10, pp. 1118-1 123. 
Aplin, P. and Atkinson, P. M., 2004. Predicting Missing Field 
Boundaries to Increase Per-Field Classification Accuracy, 
Photogrammetric Engineering & Remote Sensing, Vol. 70, 
No. 1, pp. 141-149. 
Baltsavias, E., 2004. Object Extraction and Revision by Image 
Analysis Using Existing Geodata and Knowledge: Current 
Status and Steps towards Operational Systems, ISPRS Journal 
of Photogrammetry and Remote Sensing, Vol. 58, No. 3-4, 
pp. 129-151. 
Baltsavias, M., Gruen, A. and Van Gool, L. (Eds.) 2001. 
Automatic Extraction of Man-Made Objects from Aerial and 
Space Images III, A.A. Balkema Publishers, Lisse Abingdon 
Exton(PA) Tokio, 415 p. 
Baumgartner, A., Eckstein, W., Mayer, H., Heipke, C. and 
Ebner, H., 1997. Context Supported Road Extraction, In: Gruen 
Baltsavias Henricson (Eds.), Automatic Extraction of Man- 
Made Objects from Aerial and Space Images H, Birkhäuser, 
Basel Boston Berlin, Vol. 2, pp. 299-308. 
Botdes, G., Guérin, P. and Maitre, H., 1996. Contribution of 
External Data to Aerial Image Analysis, International Archives 
of Photogrammetry, Remote Sensing and Spatial Information 
Sciences, Vol. XXXI, No. BA/IV, pp. 134-138. 
Butenuth, M. and Heipke, C., 2004. Integrating Imagery and 
ATKIS-data to Extract Field Boundaries and Wind Erosion 
Obstacles, Geotechnologien Science Report "Information 
- Vol XXXV, Part B4. Istanbul 2004 
Systems in Earth Management", No. 4, Koordinierungsbüro 
Geotechnologien, Potsdam, pp. 40-44. 
Butenuth, M., Straub, B.-M., Heipke, C. and Willrich, F., 2003. 
Tree Supported Road Extraction from Acrial Images Using 
Global and Local Context Knowledge, In: Crowley Piater 
Vincze Paletta (Eds.), Lecture Notes in Computer Science, 
Springer Verlag, Graz, Austria, Vol. LNCS 2626, pp. 162-171. 
Grenzdôrffer, G., 2002. Konzeption, Entwicklung und 
Erprobung eines digitalen integrierten  flugzeuggetragenen 
Fernerkundungssystems für Precision Farming (PFIFF), 
Dissertation Reihe C, Deutsche Geodätische Kommission, 
München, No. 552, 142 p. 
Hill, D. A. and Leckie, D. G. (Eds.), 1999, International forum: 
Automated interpretation of high spatial resolution digital 
imagery for forestry, February 10-12, 1998, Natural Resources 
Canada, Canadian Forest Service, Pacific Forestry Centre, 
Victoria, British Columbia, 395 p. 
Kass, M., Witkin, A. and Terzopoulus, D., 1988. Snakes: 
Active Contour Models, International Journal of Computer 
Vision, Vol. 1, pp. 321-331. 
Lócherbach, T., 1998. Fusing Raster- and Vector-Data with 
Applications to Land-Use Mapping, /naugural-Dissertation der 
Hohen Landwirtschafilichen Fakultät der Universität Bonn, 
Bonn, 107 p. 
Mayer, H., 1998: Automatische Objektextraktion aus digitalen 
Luftbildern, Habilitation Reihe C, Deutsche Geodätische 
Kommission, München, No. 494. 
Soille, P. (Ed., 1999. Morphological Image Analysis: 
Principles and Applications, Springer, Berlin Heidelberg 
NewYork, 316 p. 
Steger, C., 1998. An unbiased detector of curvilinear structures, 
In: IEEE Transactions on Pattern Analysis and Machine 
Intelligence (Eds.), Vol. 20, No. 2, pp. 311-326. 
Straub. B.-M., 2003. Automatische Extraktion von Bäumen aus 
Fernerkundungsdaten, Dissertation Reihe C, Deutsche 
Geodätische Kommission, München, No. 572, 99 p. 
Thiermann, A., Sbresny, J. and Schäfer, W., 2002. GIS in 
WEELS - Wind Erosion on Light Soils, GeoInformatics, No. 5, 
pp- 30-33. 
Torre, M. and Radeva, P., 2000. Agricultural Field Extraction 
from Aerial Images Using a Region Competition Algorithm, 
International Archives of Photogrammetry and Remote Sensing, 
Amsterdam, Vol. XXXIII, No. B2, pp. 889-896. 
1070 
sek 
SR ma Lm ns E^ en 
p: 
Sd
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.