Automated image registration using geometrically invariant parameter space clustering (GIPSC)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 34, Issue , 2002, Pages

  Seedahmed, Gamal ^a   Martucci, Lou ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Automation; Clustering; Geometric invariance; Hough transform; Image registration

Indexed keywords

AUTOMATION; COMPUTER VISION; HOUGH TRANSFORMS; IMAGE REGISTRATION; METADATA; PHOTOGRAMMETRY; UNCERTAINTY ANALYSIS;

AUTOMATIC IMAGE REGISTRATION; CLUSTERING; GEOMETRIC INVARIANCE; GEOMETRICAL RELATIONSHIP; HIGH DIMENSIONALITY; INVARIANT PARAMETERS; LEAST SQUARES SOLUTIONS; UNCERTAINTY MODELING;

FEATURE EXTRACTION;

EID: 84923877131     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Brown, L., (1992). A Survey of Image Registration Techniques. ACM Comput. Surv. 24, No. 4, pp. 325-376.
2. Dare, P., I., Dowman, (2001). An Improved Model for Automatic Feature-Based Registration of SAR and SPOT Images. ISPRS Journal of Photogrammetry and Remote Sensing, 56 (2001) pp. 13-28.
3. th ISPRS Congress, Amsterdam, The Netherlands (16-23 July 2000).
4. a. Single Photo Resection Using Modified Iterative Hough Transform. Journal of Photogrammetric Engineering and Remote Sensing, Vol. 67, August 2001, pp. 909-914.
5. b. Automatic Relative orientation of Large Scale Imagery over Urban Areas Using Modified Iterative Hough Transform. International Journal of Photogrammetry and Remote Sensing, 56 (2001), pp. 29-41.
6. Habib, A., T., Schenk, (1999). New Approach for Matching Surfaces from Laser Scanners and Optical Sensors. Joint Workshop of ISPRS III/5 and III/2 on Mapping Surface Structure and Topography by Air-borne and Space-borne Lasers, La Jolla, San Diego, CA (November 9-11 1999).
7. Habib, A., Y., Lee, M. Morgan, (2001). Surface Matching and Change Detection Using Modified Iterative Hough Transform for Robust Parameter Estimation. Photogrammetric Record, 17 (98), October 2001, pp. 303-315.
8. Hough, P., (1962). Methods and Means for Recognizing Complex Pattern, US Patent 3,069,654.
9. Hsieh J., H. Liao, K. Fan, M. Ko, Y. Hung, (1997). Image Registration Using a New Edge-Based Approach, Computer Vision and Image Understanding, Vol. 67,No. 2, August, pp. 112-130.
10. Li, H., B., Manjunath, S., Mitra, (1995). A Contour-Based Approach to Multi-sensor Image Registration. IEEE Transaction on Image Processing, Vol. 4, No. 3, March 1995, pp. 320-334.
11. th Int. Joint Conference on Artificial Intelligence, MIT, Cambridge, MA, USA, p. 584.
12. Mundy, J., A., Zisserman, (1992). Towards a New Framework for Vision. Geometric Invariance in Computer Vision (Mundy and Zisserman, editors), The MIT Press. Rousseew, P., A., Leroy, (1987). Robust Regression and Outlier Detection. Wiley, New York.
13. Schaffrin, B., (1997). Class Notes on Adjustment computations. The Ohio State University.
14. Thepaut, O., K., Kpalma, J., Roseph, (2000). Automatic Registration of ERS and SPOT Multisensor Images in a Data Fusion Context. Forest Ecology and Management, 128 (2000), pp. 93-100.
15. Wolfson, H., (1990). On Curve Matching. IEEE Transaction on Pattern Recognition and Machine Intelligence, Vol. 12, No. 5, May 1990, pp. 483-489.