Robust registration technique for multi-sensor images

Gilberto Zamora, Molly Dickens, Sunanda Mitra

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

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 cepstral registration technique. Experimental results demonstrate the feasibility of successful cepstral registration of SAR and EO images of the same scene despite apparent noticeable differences in some embedded structures thus providing a potential powerful tool for automated registration.

Original languageEnglish
Pages87-90
Number of pages4
StatePublished - 1998
EventProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation - Tucson, AZ, USA
Duration: Apr 5 1998Apr 7 1998

Conference

ConferenceProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation
CityTucson, AZ, USA
Period04/5/9804/7/98

Fingerprint

Dive into the research topics of 'Robust registration technique for multi-sensor images'. Together they form a unique fingerprint.

Cite this