In modern remote sensing applications it is more and more common the use of automatic image processing codes. When dealing with satellite time series or multi-source data, image co-registration is a time-consuming preprocessing step always needed. This study shows how a medium resolution satellite mutitemporal dataset can be effectively processed using automatic data processing. Results on real and transformed ASTER data showed that, without human interaction, the Automatic Ground control points Extraction technique (AGE) developed at Politecnico di Milano is able to obtain accuracies generally sufficient for practical applications and also similar to the accuracies described in other studies.

Automatic co-registration of satellite time series

GIANINETTO, MARCO
2012-01-01

Abstract

In modern remote sensing applications it is more and more common the use of automatic image processing codes. When dealing with satellite time series or multi-source data, image co-registration is a time-consuming preprocessing step always needed. This study shows how a medium resolution satellite mutitemporal dataset can be effectively processed using automatic data processing. Results on real and transformed ASTER data showed that, without human interaction, the Automatic Ground control points Extraction technique (AGE) developed at Politecnico di Milano is able to obtain accuracies generally sufficient for practical applications and also similar to the accuracies described in other studies.
2012
image registration; image matching; satellite time series; medium resolution; ASTER
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/686969
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