Marco Scaioni

Marco Scaioni
Politecnico di Milano | Polimi · ABC

PhD

About

256
Publications
127,824
Reads
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5,055
Citations
Citations since 2016
98 Research Items
3449 Citations
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
Additional affiliations
December 2011 - present
Tongji University
Position
  • Professor (Full)
January 2004 - November 2011
Politecnico di Milano
Position
  • Professor (Assistant)
May 2000 - December 2003
Università di Parma
Position
  • Grant Researcher

Publications

Publications (256)
Article
In this methodological study, delamination phenomena of Carbon Fiber Reinforced Polymer (CFRP) strips from masonry pillars were investigated on the basis of single-lap shear tests. The masonry pillar considered in this case was constituted of three historical bricks, derived from a XVII century rural building. The bricks were bonded by a high stren...
Book
Full-text available
Sensing mountains by close-range and remote techniques is a challenging task. The 4th edition of the international Innsbruck Summer School of Alpine Research 2022 – Close-range Sensing Techniques in Alpine Terrain brings together early career and experienced scientists from technical-, geo- and environmental-related research fields. The interdiscip...
Conference Paper
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The digital transformation is gradually changing the Architecture, Engineering, Construction and Owner Operators (AECOO) industry, and it applies to new and existing constructions. In particular, this study is about the management of disused railways, which usually represent unique paths inside territories and cities. Leveraging the potential of BI...
Article
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Built environment Asset Management (AM) is evolving and renewing itself through the development of new technologies. Building Information Modelling (BIM) is the main methodology for the digitisation process of existing data and information. Although BIM was originally intended for buildings, in the last few years Infrastructure Building Information...
Article
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As a result of the success of Deep Learning (DL) techniques, DL-based approaches for extracting information from 3D building point clouds have evolved in recent years. Despite noteworthy progress in existing methods for interpreting point clouds, the excessive cost of annotating 3D data has resulted in DL-based 3D point cloud understanding tasks st...
Article
The accurate estimation of precipitation has a basis for atmospheric and hydrological applications. However, large uncertainties exist in the estimation of regional precipitation derived solely from remote sensing data. Herein, we develop an effective method to fuse multiple satellite-based precipitation products to capitalize on their strengths an...
Article
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Climate change and urban transformations raise new challenges for decision-makers. The United Nations Sustainable Development Goals and The European Green Deal aim for a sustainable economy by reducing emissions of greenhouse gases. An essential task for reaching this result is to minimize transport emissions and their negative impacts on the envir...
Chapter
This paper presents a satellite image co-registration procedure aiming at simultaneously estimating multiple affine transformations between a set of multi-temporal or multi-source satellite images, reducing error accumulation and improving metric precision. The approach is based on synchronization, a method that seeks to infer the unknown states of...
Chapter
Full-text available
Historical aerial images provide valuable information for monitoring and change detection in different areas such as glaciers. Using aerial images, 3D models can be created and the geometry of the glaciers can be digitized manually to analyse their surface extent and evolution. Here, we use archive images to reconstruct 3D models of Miage glacier i...
Article
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The Regional Topographic Geodatabase (DBTR) was officially defined in 2005 as the multi-scale (1:1,000 – 1:2,000 – 1:5,000 – 1:10,000) cartographic reference for urban and regional planning in Lombardy Region. The DBTR had been previously introduced at national level to take over traditional numerical topographic maps adopted for urban planning, wi...
Article
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In current research, fully supervised Deep Learning (DL) techniques are employed to train a segmentation network to be applied to point clouds of buildings. However, training such networks requires large amounts of fine-labeled buildings’ point-cloud data, presenting a major challenge in practice because they are difficult to obtain. Consequently,...
Chapter
Full-text available
Landslide dam failure may be triggered by heavy rainfall or earthquake and may fail due to seepage or piping because of the asymmetric compaction. Hence, they have the potential to result in serious natural hazards. Rapid assessment of this phenomenon requires the application of investigation and monitoring techniques providing information on the o...
Conference Paper
Full-text available
Building Information Modelling (BIM) is a key technology to achieve the digitization in architecture, engineering, construction (AEC), and facility management (FM) industry. A topic that has been less explored is the possibility of using the BIM model to digitize the building permit in order to help both designers and public administrations to auto...
Article
Full-text available
In recent research, fully supervised Deep Learning (DL) techniques and large amounts of pointwise labels are employed to train a segmentation network to be applied to buildings’ point clouds. However, fine-labelled buildings’ point clouds are hard to find and manually annotating pointwise labels is time-consuming and expensive. Consequently, the ap...
Article
Full-text available
Light Detection and Ranging (LiDAR) technology is playing a major role in different applications. Indeed, the possibility of exploiting either 3D geometric features and radiometric information makes LiDAR suitable for a wide range of practical domains. LiDAR proved also being quite flexible in terms of platforms where it can be implemented for the...
Article
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Starting from the Academic Year 2018–2019, Politecnico di Milano university has established a BSc programme on “Civil Engineering for Risk Mitigation” (ICMR). This course is aimed at training students to cope with issues related to different types of natural and anthropogenic hazards, among which Geohazards are paid a primary attention. A “Workshop...
Chapter
This paper presents the contribution of digital surveying techniques for the estimation of fluvial sediment transport. The aim is to create predictive models able to minimize or reduce the hydrogeological hazard, especially before or during critical meteorological events. The case study is the Caldone stream, a watercourse located in the municipali...
Conference Paper
Full-text available
The integration of Building Information Modelling (BIM) and Geographical Information Systems (GIS) is gaining momentum in digital built Asset Management (AM), and has the potential to improve information management operations and provide advantages in process control and delivery of quality AM services, along with underlying data management benefit...
Article
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The 3rd edition of the international summer school “Close-range Sensing Techniques in Alpine terrain” took place in Obergurgl, Austria, in June 2019. This article reports on results from the training and seminar activities and the outcome of student questionnaire survey. Comparison between the recent edition and the past edition in 2017 shows no si...
Article
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Automatic extraction of road features from LiDAR data is a fundamental task for different applications, including asset management. The availability of updated and reliable models is even more important in the context of smart roads. One of the main advantages of LiDAR data compared with other sensing instruments is the possibility to directly get...
Article
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In the wake of the success of Deep Learning Networks (DLN) for image recognition, object detection, shape classification and semantic segmentation, this approach has proven to be both a major breakthrough and an excellent tool in point cloud classification. However, understanding how different types of DLN achieve still lacks. In several studies th...
Article
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Alpine glaciers play a key role in our society through the production of freshwater for domestic, industrial and agricultural use. As they are severely affected by climate change, it is of crucial importance to understand their behaviour and monitor their morphological evolution, with the primary aims to estimate ice volume and mass changes. Howeve...
Article
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An efficient alternative to labour-intensive terrestrial and costly airborne surveys is the use of small, inexpensive Unmanned Aerial Vehicles (UAVs) or Remotely Piloted Aerial Systems (RPAS). These low-altitude remote sensing platforms, commonly known as drones, can carry lightweight optical and LiDAR sensors. Even though UAV systems still have li...
Article
Full-text available
Building Information Modeling (BIM) has a crucial role in smart road applications, not only limited to the design and construction stages, but also to traffic monitoring, autonomous vehicle navigation, road condition assessment, and real-time data delivery to drivers, among others. Point clouds collected through LiDAR are a powerful solution to cap...
Article
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Coastal retreat is a non-recoverable phenomenon that—together with a relevant proneness to landslides—has economic, social and environmental impacts. Quantitative data on geological and geomorphologic features of such areas can help to predict and quantify the phenomena and to propose mitigation measures to reduce their impact. Coastal areas are of...
Article
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On the surface of the Moon a large number of linear features are recognizable. Long and narrow depressions are defined as lunar rilles. Their morphology has different characteristics, related to their origin. Among these, the sinuous rilles represent lineaments considered remnants of shallow lava channels. In this study, a quadrant of the Moon has...
Article
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This paper focuses on the analysis of point clouds from terrestrial laser scanning to interpret possible deformations of the new Badaling Tunnel that was built for the Winter Olympics 2022 in the nearby of Beijing, China. A reference framework is established to compare data corresponding to various days with blocks of uniform columns and rows from...
Article
Full-text available
The estimation of extreme hurricane probability is hampered by small samples and by limitations in our models of extreme tropical storms. Current best‐estimates of extreme hurricane probability based on the traditional Extreme Value Theory (EVT) assume hurricane arrivals to be a homogeneous Poisson process. We reformulate here, for application to A...
Article
Full-text available
Classifying point clouds obtained from mobile laser scanning of road environments is a fundamental yet challenging problem for road asset management and unmanned vehicle navigation. Deep learning networks need no prior knowledge to classify multiple objects, but often generate a certain amount of false predictions. However, traditional clustering m...
Article
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The identification of deterioration mechanisms and their monitoring over time is an essential phase for conservation. This work aimed at developing a novel approach for deterioration mapping and monitoring based on 360° images, which allows for simple and rapid data collection. The opportunity to capture the whole scene around a 360° camera reduces...
Chapter
Full-text available
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 (Sf...
Article
A clear bias exists in the widely used gridded precipitation products (GPPs) that result from factors about topography, climate, and retrieval algorithms. Many existing optimization works have a deficiency in validation and domain sizes, which makes the evaluation and corrections of the Climate Hazards group InfraRed Precipitation with Station data...
Article
Full-text available
With the increase of population, many cities are growing in size at a phenomenal rate. Urbanization changes the urban underlying surface, influences the micro-climate, and sometimes affects the local precipitation process. In this study, we investigated the trends of extreme rainfall in China’s 21 typical urban areas. Based on a series of daily rai...
Article
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The realistic possibility of using non-metric digital cameras to achieve reliable 3D models has eased the application of photogrammetry in different domains. Documentation, conservation and dissemination of the Cultural Heritage (CH) can be obtained and implemented through virtual copies and replicas. Structure-from-Motion (SfM) photogrammetry has...
Article
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In this paper, we present the results of time-lapse electrical resistivity tomography (ERT) monitoring of rainfall-triggered shallow landslides reproduced on a laboratory-scale physical model. The main objective of our experiments was to monitor rainwater infiltration through landslide body in order to improve our understanding of the precursors of...
Article
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With global warming, precipitation events are often prone to intensify in some regions. Understanding the changing characteristics of annual and daily extreme precipitation as well as the underlying mechanisms plays an import role for early warning of precipitation-induced disaster (e.g. floods, landslides) and water resources management, especiall...
Conference Paper
Full-text available
In this paper the use of different types of remote-sensing techniques for monitoring topographic changes of Alpine glaciers is presented and discussed. Close range photogrammetry based on Structure-from-Motion approach is adopted to process images recorded from ground-based and drone-based stations in order to output dense point clouds. These are t...
Article
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The impressive success of Structure-from-Motion Photogrammetry (SfM) has spread out the application of image-based 3D reconstruction to a larger community. In the field of Archeological Heritage documentation, this has opened the possibility of training local people to accomplish photogrammetric data acquisition in those remote regions where the or...
Article
Full-text available
The protection and management of archaeological sites require from a deep documentation and analysis, and although hand measuring and documentation is the cheapest way for collecting data, laser scanner has been gradually integrated for the geometrical data capture since point clouds have a high quality in terms of accuracy, precision and resolutio...
Conference Paper
Full-text available
Riassunto Lo studio proposto ha l'obiettivo di integrare in un unico ambiente di interpretazione i fenomeni di instabilità rilevati sul campo e le misure di umidità del terreno elaborate da dati radar, in un settore della Sardegna centrale. In particolare, viene proposta una cartografia multi-temporale in cui, alla specifica fenomenologia franosa l...
Article
Gridded precipitation products have been widely used in scientific literatures, e.g., weather forecasting, hydrological process modelling and disaster simulating. However, it is necessary to evaluate their accuracies before using them for practical purposes. In this study, three mainstream different-spatial-scale daily gridded precipitation data (G...
Article
Full-text available
A critical task in every terrestrial laser scanning project is the transformation (addressed to as registration or alignment) of multiple point clouds into a common reference system. Even though this operation appears to be a solved and well-understood problem, the vast majority of available techniques still lack meaningful quality measures that al...
Article
Full-text available
Smart management of urban built environment relies on the availability of data supporting sound policy making and guiding city renovation processes toward more sustainable and performant models. Nevertheless, public managers are unlikely to have comprehensive information on the existing building stock. In addition, tools providing effective insight...
Chapter
The application of Structure-from-Motion (SfM) Photogrammetry with ground-based and UAV camera stations may be exploited for modelling the topographic surface of Alpine glaciers. Multi-temporal repeated surveys lead to geometric models that may be applied to analyze the glacier retreat under global warming conditions. Thanks to the integration of p...
Article
Full-text available
Remotely sensed rainfall plays an important role in providing efficient approaches for global or regional rainfall analysis. However, the accuracy of satellite-based products is mainly affected by the errors in sensor observation and retrieval algorithms, particularly with respect to extreme rainfall estimates. The objective of this study is to eva...
Article
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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...
Article
Full-text available
In the maintenance of large infrastructures such as dams, bridges, railways, underground structures (tunnels, mines) and others, monitoring of deformations plays a key role in maintaining the safety serviceability conditions and for mitigating any consequences due to ageing factors and possible structural failures. [...]
Article
Full-text available
In recent years, the measurement of dam displacements has benefited from a great improvement of existing technology, which has allowed a higher degree of automation. This has led to data collection with an improved temporal and spatial resolution. Robotic total stations and GNSS (Global Navigation Satellite System) techniques, often in an integrate...
Article
Full-text available
In the last years, point clouds have become the main source of information for building modelling. Although a considerable amount of methodologies addressing the automated generation of 3D models from point clouds have been developed, indoor modelling is still a challenging task due to complex building layouts and the high presence of severe clutte...
Article
Full-text available
Despite the increasing demand of updated and detailed indoor models, indoor reconstruction from point clouds is still in an early stage in comparison with the reconstruction of outdoor scenes. Specific challenges are related to the complex building layouts and the high presence of elements such as pieces of furniture causing clutter and occlusions....
Article
In this research was evaluated the potential of using scores derived from spectral data to detect surfaces and stacking patterns in the sedimentary record, and propose a new method for analyzing spectral data. Spectral field surveys with wavelengths ranging between 2.0 and 2.5 μm were acquired from three well-exposed outcrops in the Neuquén Basin,...
Chapter
Virtual Web Reconstruction of cultural heritage is one of the most interesting and innovative tool to preserve historical, architectural and artistic memory of many sites, particularly the ones prone to disappear, as well as to promote territories and tourism development. Recently, high-resolution 3D models are realized through improved technology...
Chapter
This paper presents an empirical methodology to assess the quality of camera calibration and to check out the effects of image geometry in 3D photogrammetric reconstruction. The proposed methodology is applied to the simple stereo-pair configuration, but it is also suitable to be extended to larger image block geometries. The basic concept consists...
Article
Full-text available
Structure-from-Motion (SfM) photogrammetry is a flexible and powerful tool to provide 3D point clouds describing the surface of objects. Due to the easy transportability and low-cost of necessary equipment with respect to laser scanning techniques, SfM photogrammetry has great potential to be applied in harsh high-mountain environment. Here point c...
Article
Full-text available
The 2nd international summer school “Close-range sensing techniques in Alpine terrain” was held in July 2017 in Obergurgl, Austria. Participants were trained in selected close-range sensing methods, such as photogrammetry, laser scanning and thermography. The program included keynotes, lectures and hands-on assignments combining field project plann...
Article
Full-text available
In this paper, the possible connection between the frequency of Atlantic hurricanes to the climate change, mainly the variation in the Atlantic Ocean surface temperature has been investigated. The correlation between the observed hurricane frequency for different categories of hurricane’s intensity and Sea Surface Temperature (SST) has been examine...
Article
Full-text available
LiDAR is a consolidated technology for topographic mapping and 3D reconstruction, which is implemented in several platforms On the other hand, the exploitation of the geometric information has been coupled by the use of laser intensity, which may provide additional data for multiple purposes. This option has been emphasized by the availability of s...
Article
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The demand of intelligent systems that can improve our daily lives by providing relevant information is continuously growing. Some examples include 1) finding the nearest exit during emergency events; 2) continuous georeferencing in either outdoor or indoor environments to receive location-based information; 3) tracking people and goods to prevent...
Thesis
Abstract The occurrence probability estimation of extreme tropical cyclone intensity is an essential component in a vast number of fields and plays a crucial role in storm risk assessment, emergency planning, and insurance industry. The method typically employed for these analyses is based on the results of Extreme Value Theory (EVT). In this fram...
Article
Full-text available
The mission planning in airborne Photogrammetry and Remote Sensing applications, depending on the system of acquisition and by the adopted platform (such as rotary and fixed wing aircrafts, glider, airship, manned or unmanned), is the first and essential step to ensure the success of a survey mission. The purpose of this paper is to provide an over...
Presentation
Full-text available
The Generalized Extreme Value (GEV) distribution is widely adopted irrespective of the properties of the stochastic process generating the extreme events. However, GEV presents several limitations, both theoretical (asymptotic validity for a large number of events/year or hypothesis of Poisson occurrences of Generalized Pareto events), and practica...