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Projects / Programmes source: ARIS

Automatic registration of satellite images

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Research activity

Code Science Field Subfield
2.17.00  Engineering sciences and technologies  Geodesy   

Code Science Field
P515  Natural sciences and mathematics  Geodesy 
Keywords
remote sensing, satellite images, image processing, registration
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (1)
no. Code Name and surname Research area Role Period No. of publications
1.  15112  PhD Krištof Oštir  Geodesy  Head  2002 - 2004  594 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0618  Research Centre of the Slovenian Academy of Sciences and Arts  Ljubljana  5105498000  62,985 
Abstract
Image registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected every day from different sensors, automated registration of images has become a very important issue. In the past years a number of registration techniques has been developed, but it is unlikely that a single registration method will work satisfactorily for different applications. A possible solution is to integrate multiple registration algorithms into an artificial intelligence system. The first step in the development of such an expert system is to obtain a better understanding and characterization of the various existing techniques for image registration. The main objective of this project is to present a comparative study of some recent techniques and to develop new image registration methods. This comprehensive study will enable the user to select algorithms that work best for a particular application domain.
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