Subpixel geocoding of COSMO-SkyMed and Sentinel-1 time series imaged with different geometry

Gianinetto, Marco; Monno, Vito; Barazzetti, Luigi; Dini, Luigi; Daraio, Maria Girolamo; Nodari, Francesco Rota

doi:10.1109/igarss.2016.7730306

Cited by 2 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, when processing time series imaged with different viewing angles, image rotations and scale variations could not be neglected. That is the typical case of high-resolution satellite images, but also that of multi-sensor datasets, including the data processing of radar images, which are usually collected with different incidence viewing angles and/or different orbits [45,46]. On the other hand, subpixel discrepancies have been found for shifts (parameters c j and d j ,) in the Landsat time-series.…”

Section: Discussionmentioning

confidence: 99%

Multi-Image Robust Alignment of Medium-Resolution Satellite Imagery

2018

Self Cite

View full text Add to dashboard Cite

This paper describes an automatic multi-image robust alignment (MIRA) procedure able to simultaneously co-register a time series of medium-resolution satellite images in a bundle block adjustment (BBA) fashion. Instead of the direct co-registration of each image with respect to a reference ‘master’ image on the basis of corresponding features, MIRA also considers those tie points that may be not be shared with the master, but they only connect the other images (‘slaves’) among them. In a first stage, tie points are automatically extracted by using pairwise feature-based matching based on the SURF operator. In a second stage, such extracted features are re-ordered to find corresponding tie points visible on multiple image pairs. A ‘master’ image is then selected with the only purpose to establish the datum of the final image alignment and to instantiate the computation of approximate registration parameters. All the available information obtained so far is fed into a least-squares BBA to estimate the unknowns, which include the registration parameters and the coordinates of tie points re-projected in the ‘master’ image space. The analysis of inner and outer reliability of the observations is applied to assess whether the residual blunders may be located using data snooping, and to evaluate the influence of undetected outliers on the final registration results. Three experiments with simulated datasets and one example consisting of eleven Landsat-5/TM images are reported and discussed. In the case of real data, results have been positively checked against the ones obtained by using alternative procedures (BBA with manual measurements and ‘slave-to-master’ registration based on automatically extracted tie points). These experiments have confirmed the correctness of the MIRA approach and have highlighted the potential of the inner control on the final quality of the solution that may come from the reliability analysis.

show abstract

Section: Discussionmentioning

confidence: 99%

Multi-Image Robust Alignment of Medium-Resolution Satellite Imagery

2018

Self Cite

View full text Add to dashboard Cite

show abstract

Automatic Processing of Many Images for 2D/3D Modelling

Barazzetti

Gianinetto

Scaioni

2019

Digital Transformation of the Design, Construction and Management Processes of the Built Environment

Self Cite

View full text Add to dashboard Cite

The era of big data requires increasing automation for the analysis of huge information in a short time and this need becomes critical when dealing with geoinformation. This chapter describes the automatic geocoding of digital images based on high-end Photogrammetric and Remote Sensing methods. In particular, the so-called Structure-from-Motion (SfM) technique is developed to handle image data sets in close-range applications, and here, it is generalized to deal with multiscale applications. Some examples are proposed with panoramic images for the measurement of indoor narrow spaces, with smartphone cameras and UAV for the 3D reconstruction of complex monuments, as well as with airborne and satellite images for the survey at the territorial scale.

show abstract

Subpixel geocoding of COSMO-SkyMed and Sentinel-1 time series imaged with different geometry

Cited by 2 publications

References 10 publications

Multi-Image Robust Alignment of Medium-Resolution Satellite Imagery

Multi-Image Robust Alignment of Medium-Resolution Satellite Imagery

Automatic Processing of Many Images for 2D/3D Modelling

Contact Info

Product

Resources

About