Automatic image-to-site model registration

Author

Zhang, X. ; Burlina, P. ; Zheng, Q. ; Chellappa, R.

Author_Institution

Comput. Vision Lab., Maryland Univ., College Park, MD, USA

Volume

4

fYear

1996

fDate

7-10 May 1996

Firstpage

2164

Abstract

Image-to-site model registration is critical to model supported exploitation of aerial and satellite imagery. This paper presents a fully-automatic registration method. This method uses a multi-resolution image-to-image registration process assuming both affine and projective transformations to determine and refine the locations of 3D control points in the new image. Camera resection is subsequently accomplished. Registration results obtained on real imagery show good performance

Keywords

cameras; image registration; image resolution; 3D control points location; aerial imagery; affine transformation; automatic image to site model registration; camera resection; image registration results; multiresolution image to image registration; performance; projective transformation; real imagery; satellite imagery; Cameras; Computer vision; Context modeling; Educational institutions; Focusing; Image resolution; Laboratories; Multiresolution analysis; Robustness; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.545848

Filename

545848