DocumentCode
2290164
Title
A robust registration technique for multi-sensor images
Author
Zamora, Gilberto ; Dickens, Molly ; Mitra, Sunanda
Author_Institution
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
fYear
1998
fDate
5-7 Apr 1998
Firstpage
87
Lastpage
90
Abstract
This paper describes an improved technique to register multi-sensor images by segmenting the images by adaptive clustering prior to performing preprocessing and cepstrum operation to determine the translational displacement. The difficulty in registering multi sensor images lies in the fact that the images of the same scene acquired by different sensors often appear different in detailed structures. Therefore the common features existing in such images need to be identified by suitable preprocessing operations for the success of the cepstral registration technique. Experimental results demonstrate the feasibility of successful cepstral registration of SAR and electro-optic images of the same scene despite apparent noticeable differences in some embedded structures thus providing a potential powerful tool for automated registration
Keywords
adaptive signal processing; cepstral analysis; feature extraction; geophysical signal processing; image registration; image segmentation; image sequences; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; SAR images; adaptive clustering; automated registration; cepstrum operation; common features identification; electro-optic images; embedded structures; multi-sensor images; preprocessing; robust registration technique; scene; segment; translational displacement; Cepstral analysis; Cepstrum; Clustering algorithms; Fuzzy control; Image segmentation; Image sensors; Layout; Robustness; Sensor phenomena and characterization; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation, 1998 IEEE Southwest Symposium on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-4876-1
Type
conf
DOI
10.1109/IAI.1998.666865
Filename
666865
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