Marco Scaioni - Academia.edu (original) (raw)

Papers by Marco Scaioni

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jan 12, 2023

Subsidence-related vertical ground deformation due to natural and anthropogenic factors may lead ... more Subsidence-related vertical ground deformation due to natural and anthropogenic factors may lead to considerable damages to structures and infrastructures, and may increase the occurrence probability of consequential events, such as floods, especially on sea and lake shores. Como city, placed in the north of Italy, adjacent to Como Lake, is subjected to significant subsidence phenomenon, which has been monitored by geodetic levelling networks. In this work the historical geodetic levelling measurements and satellitebased Synthetic Aperture Radar (SAR) data archive are integrated to assess the accuracy of Atmospheric Delay and Deformation Rate estimations obtained through Persistent Scatter Interferometry (PSI) techniques. Tree levelling measurement datasets acquired in 1990, 1997 and 2004 are used in order to obtain the precise deformation rate at the benchmarks for two periods of 1990-1997 and 1997-2004. For multi-temporal InSAR analysis, 106 SAR images (1992-2004) and 41 SAR images (1992-2004) in Ascending Track orbit from ERS-1/2 missions are used in this study. The assessment is performed through a statistical comparison between two sets of vertical land deformation rates obtained by integrated methods. The results of the validation represented a good consistency between deformation rates derived by both techniques. Also, this study has revealed the potential of SAR images acquired in gyroless mode by ERS-2 mission (2001-2004) in terms of the estimation of ground deformation.

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Towards revealing the potential of satellite Synthetic Aperture Radar (SAR) Interferometry (InSAR... more Towards revealing the potential of satellite Synthetic Aperture Radar (SAR) Interferometry (InSAR) for efficient detection and monitoring of Cultural Heritage (CH) encouraging resilient built CH, this study is devoted to the validation of InSAR-derived vertical displacements with a full-resolution perspective taking advantage of high-precision geodetic levelling measurements. Considering the Cathedral of Como, northern Italy, as the case study, two different Persistent Scatterer Interferometry (PSI) techniques have been applied to Cosmo-SkyMed high-resolution SAR images acquired in both ascending and descending orbit tacks within the time interval of 2010-2012. Besides using the simplified approach for obtaining the vertical displacement velocity from Line of Sight (LOS) velocity, a weighted, localized, multi-track Vertical Displacement Extraction (VDE) approach is proposed and evaluated, which uses the technical outcome of Differential InSAR (DInSAR) and spatial information. The results, using a proper PSI technique, showed that the accuracy level of extracted vertical displacement velocities in a full-resolution application is ca. 0.6 [mm/year] with a dense concentration of InSAR-Levelling absolute errors lower than 0.3 [mm/year] which are reliable and reasonable levels based on the employed validation framework in this study. Also, the weighted localized VDE can significantly decrease the InSAR-Levelling errors, adding to the reliability of the InSAR application for CH monitoring and condition assessment in practice.

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012

This paper presents an automated methodology able to register laser scanning point clouds using t... more This paper presents an automated methodology able to register laser scanning point clouds using their panoramic images derived from intensity values or RGB data, the latter obtained from a co-registered camera. Starting from the panorama of each laser scan, a Feature-Based Matching (FBM) algorithm is pairwise applied to extract corresponding key-points. Robust estimators are then used to remove outliers through a generalized rejection procedure encompassing several geometric models. After tracking the twofold keypoints across different scan pairs in order to increase the local redundancies, a global Least Squares block adjustment is computed for all scans. Ground control points can also be included at this stage for datum definition and control of block's stability. The proposed method was tested on real case studies and the experiments showed that the procedure is able to deliver the registration of all scans in a fully automatic way. On the other hand, if a higher accuracy is required this solution needs a further ICP refinement. Registration method Typology of data used Ground georeferencing Diffusion among practitioners Number of scans Degree of automation

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013

This paper presents an innovative methodology for the registration of multiple satellite scenes b... more This paper presents an innovative methodology for the registration of multiple satellite scenes by using a global Least Squares adjustment. The main advantage in relation to traditional approaches concerns the combined use of all the images of the dataset to obtain a more robust and comprehensive registration along with a statistical evaluation of the solution accuracy. This technique avoids standard matching solutions (implemented in several commercial software packages) where pairs of images are independently co-registered on the basis of an 'one-to-one' approach, starting from points extracted via independent 'image-to-master' matching. Once a set of corresponding multi-image features is extracted from the whole dataset, the implemented algorithm provides a global mapping function for an adjustment process that simultaneously includes all the available data. The multi-image matching process (coined 'one-to-many' approach) is performed by exploiting multi-temporal image combinations to obtain features visible in as many scenes as possible. The features are then clustered to generate a regular structure of image coordinates for the following Least Squares adjustment phase. The method is able to manage features visible in as many images as possible and is therefore a powerful alternative for registering satellite data which do not directly share common features with the master. Some examples will be illustrated to report the feasibility of the registration algorithm and to prove its sub-pixel accuracy for the specific case of Landsat images.

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004

Proceedings of SPIE - The International Society for Optical Engineering, 2012

2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012, 2012

This paper presents a photogrammetric procedure for human back shape reconstruction. The system i... more This paper presents a photogrammetric procedure for human back shape reconstruction. The system is almost fully automated and provides an accurate 3D model by using a processing chain based on different image-matching algorithms. The method can be properly tuned to deal more effectively with different image datasets thanks to the optional choice between techniques and input parameters. This allows the operator to handle a random number of images, acquired with fixed or even hand-held sensors under different image network geometry.

Proceedings of the 2012 18th International Conference on Virtual Systems and Multimedia, VSMM 2012: Virtual Systems in the Information Society, 2012

The possibility of deriving 3D digital models characterized by having and accurate description of... more The possibility of deriving 3D digital models characterized by having and accurate description of real objects and surfaces is nowadays possible using both laser scanning surveys and Photogrammetric or Computer Vision methodologies. In conjunction with the development of these techniques also the request of photorealistic models raised up. Texture mapping allows this result mapping the image information onto the digital surface. In many cases commercial software applications require an high amount of manual modeling to achieve satisfactory results. In this work we present a novel texture mapping approach aiming in reducing at minimum the human intervention. In particular we are focusing on two different aspects: filtering out occluded areas from the texturing phase and the correction of color and brightness among images to reduce sharp texture transitions.

Proceedings of SPIE - The International Society for Optical Engineering, 2012

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014

Point cloud acquisition by using laser scanners provides an efficient way for 3D as-built modelli... more Point cloud acquisition by using laser scanners provides an efficient way for 3D as-built modelling of indoor/outdoor urban environments. In the case of large structures, multiple scans may be required to cover the entire scene and registration is needed to merge them together. In general, the identification of corresponding geometric features among a series of scans can be used to compute the 3D rigid-body transformation useful for the registration of each scan into the reference system of the final point cloud. Different automatic or semi-automatic methods have been developed to this purpose. Several solutions based on artificial targets are available, which however may not be suitable in any situations. Methods based on surface matching (like ICP and LS3D) can be applied if the scans to align have a proper geometry and surface texture. In the case of urban and architectural scenes that present the prevalence of a few basic geometric shapes ('Legoland' scenes) the availability of many planar features is exploited here for registration. The presented technique does not require artificial targets to be added to the scanned scene. In addition, unlike other surface-based techniques (like ICP) the planar feature-based registration technique is not limited to work in a pairwise manner but it can handle the simultaneous alignment of multiple scans. Finally, some applications are presented and discussed to show how this technique can achieve accuracy comparable to a consolidated registration method.

The Photogrammetric Record, 2010

In this paper an automated methodology is presented (i) to orient a set of close‐range images cap... more In this paper an automated methodology is presented (i) to orient a set of close‐range images captured with a calibrated camera, and (ii) to extract dense and accurate point clouds starting from the estimated orientation parameters. The whole procedure combines different algorithms and techniques in order to obtain accurate 3D reconstructions in an automatic way. The exterior orientation parameters are estimated using a photogrammetric bundle adjustment with the image correspondences detected using area‐ and feature‐based matching algorithms. Surface measurements are then performed using advanced multi‐image matching techniques based on multiple image primitives. To demonstrate the reliability, precision and robustness of the procedure, several tests on different kinds of free‐form objects are illustrated and discussed in the paper. Three‐dimensional comparisons with range‐based data are also carried out.