SUBPIXEL METHODS FOR CORRESPONDENCE SEARCHES, IMAGE REGISTRATION AND CHANGE DETECTION WITH APPLICATIONS FOR CIVIL AND ENVIRONMENTAL ENGINEERING
The aim of the project was to develop and optimise new algorithms for the automatic registration of images. Compared to existing methodologies, that which was developed during the project has the peculiarity of evaluating a global transformation of the entire data set, in analogy to the bundle block adjustment of photogrammetry.
The experiment centred around the processing of time series captured using optical satellites, with the aim of overcoming the typical limitations due to occlusions (shadows, snow, cloud) and the change in land cover. The results have demonstrated how the multi-image methodology that has been developed is also capable of automatically processing sets of data that the traditional techniques are not capable of processing.
Service
Remote sensing (analysis of satellite and aerial images)
Coordinator
Marco Gianinetto
Project group
Luigi Barazzetti (dABC)
dABC role
Partner
Project start and end date
08/03/2012 – 08/03/2015
Publications linked to the project
L. Barazzetti, M. Gianinetto, M. Scaioni.Radiometric normalization with multi-image pseudo-invariant features.Proceedings of the Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), Cyprus, 968807, DOI: http://dx.doi.org/10.1117/12.2240705. 2016
L. Barazzetti, M. Gianinetto, M. Scaioni.A new Approach to Satellite Time Series Co-registration for Landslide Monitoring. In Modern Technologies for Landslide Monitoring and Prediction.M. Scaioni ed.,2015, Springer Natural Hazards, pp. 249, ISBN 978-3-662-45931-7, doi: 10.1007/978-3-662-45931-7_12.
L. Barazzetti, M. Gianinetto, M. Scaioni.. The concept of reliability applied to the geometric co-registration of multiple satellite time-series of images.2015 International Geoscience and Remote Sensing Symposium (IGARSS 2015), Milano, Italy.
M. Gianinetto, L. Barazzetti, L. Dini, A. Fusiello, R. Toldo.Geometric registration of remotely sensed data with SAMIR.Third International Conference on Remote Sensing and Geoinformation of Environment (RSCY2015), Cyprus, pp. 1-9. 2015.
L. Barazzetti, M. Gianinetto, M. Scaioni.Simultaneous least-squares registration of satellite time series.6th Workshop on Hyperstectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland, pp. 1-4. 2014
L. Barazzetti, M. Gianinetto, M. Scaioni.Automatic registration of multi-source medium resolution satellite data.The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Istanbul, Turkey, vol. XL-7, pp. 23-28, ISBN: 1682-1777, doi: 10.5194/isprsarchives-XL-7-23-2014. 2014.
L. Barazzetti, M. Scaioni, M. Gianinetto.Automatic co-registration of satellite time series via least squares adjustment.European Journal of Remote Sensing, 47(1), pp. 55-74, ISSN: 2279-7254, ISI code: WOS:000331805100005, Scopus code: 2-s2.0-84894717714, doi: 10.5721/EuJRS20144705. 2014
L. Barazzetti, M. Scaioni, M. Gianinetto.One-to-many registration of Landsat imagery.The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Antalya, Turkey, vol. XL-7/W2, pp. 37-42, doi: 10.5194/isprsarchives-XL-7-W2-37-2013. 2013
L. Barazzetti, M. Scaioni, M. Gianinetto.Automatic Image-based 3D Modeling for Medical Applications.5th International Congress on Image and Signal Processing (CISP 2012) and 5th International Conference on BioMedical Engineering and Informatics (BMEI 2012), Chongqing, China, Print ISBN: 978-1-4673-1183-0, Codice Scopus 2-s2.0-84886432731, doi: 10.1109/BMEI.2012.6512942, pp. 228-232. 2012
R.Roncella, E. Romeo, L. Barazzetti, M. Gianinetto, M. Scaioni.Comparative Analysis of Digital Image Correlation Techniques for In-plane Displacement Measurements.5th International Congress on Image and Signal Processing (CISP), Chongqing, China, IEEE (New York), pp. 721-726, ISBN: 978-1-4673-0964-6, Codice ISI WOS:000317021100153, Codice Scopus 2-s2.0-84875007715, doi: 10.1109/CISP.2012.6469731.2012