Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 23-28, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7/23/2014/
doi:10.5194/isprsarchives-XL-7-23-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Sep 2014
Automatic registration of multi-source medium resolution satellite data
L. Barazzetti1, M. Gianinetto1, and M. Scaioni2 1Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering Via Ponzio 31, 20133 Milano, Italy
2Tongji University, College of Surveying and Geo-Informatics, 1239 Siping Road, 200092 Shanghai, P.R. China
Keywords: Automation, Data Fusions, Matching, Medium-Resolution Satellite Imagery, Registration Abstract. Multi-temporal and multi-source images gathered from satellite platforms are nowadays a fundamental source of information in several domains. One of the main challenges in the fusion of different data sets consists in the registration issue, i.e., the integration into the same framework of images collected with different spatial resolution and acquisition geometry. This paper presents a novel methodology to accomplish this task on the basis of a method that stands out from existing approaches. The whole data (time series) set is simultaneously co-registered with a two-dimensional multiple Least Squares adjustment with different geometric transformations implemented. Some tests were carried out with different geometric transformation models (including similarity, affine, and polynomial) and variable matching thresholds. They showed a sub-pixel precision after the computation of multiple adjustment. The use of multi-image corresponding points allowed the improvement of the registration accuracy and reliability of a time series made up of data imaged with different sensors.
Conference paper (PDF, 880 KB)


Citation: Barazzetti, L., Gianinetto, M., and Scaioni, M.: Automatic registration of multi-source medium resolution satellite data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 23-28, doi:10.5194/isprsarchives-XL-7-23-2014, 2014.

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