A GEODATABASE FOR MULTISOURCE DATA MANAGEMENT APPLIED TO CULTURAL HERITAGE: THE CASE STUDY OF VILLA BUONACCORSI'S HISTORICAL GARDEN

Abstract. In recent years, the digitization of historical data related to the architectural heritage and the development of ICT-based methodologies applied to cultural goods have become increasingly relevant. In this context, the use of GIS (Geographical Information System) is growing significantly, with the aim of collecting, analysing and managing heterogeneous data in a spatial context. Given such premise, the site identified for this case-study is a historical Italian Garden into the Villa Buonaccorsi in Potenza Picena (MC, Italy). The project aims at creating a methodology, that organizing natural and artificial elements in the GIS, to support management and planning of this landscape architecture, considering also the changes during the time. A suitable GIS can promote and ensure a correct use of the heritage knowledge, preserving the historical identity, overlaying the data. The data management system, specifically developed for this case, is based on an open source GIS, where surveyed data coming from different sources and the relation to the attributes have been descripted in a conceptual model. The inventory of this geodatabase, in a dedicated GIS, has allowed to perform some queries, making in output a dialogue box with all the information, in form of report, useful to the manager of a historical garden. The structure of the GIS can significantly to help who works with similar cases and it can be useful for analysis, management, storage and integration of information related to Italian gardens.</p

Road pavement crack automatic detection by MMS images

none4noThe research topic was to test different feature extraction methods to localize road pavement cracks useful to construct a spatial database for the pavement distress monitoring. Several images were acquired by means of a line scan camera that assembled in a Mobile Mapping System (MMS) allows tracking directly the position of the images by a GPS-INS system. Following an automatic digital image processing was performed by means of several algorithms based on different approaches (edge detection and fuzzy set theory). The detected cracks were described with some parameters in relation to some shape characteristics (dimension, typology, direction), which are necessary to recognize the gravity of the road pavement conditions. The edge detection techniques tested in this research allowed identifying fatigue cracking or alligator cracking and also thin linear cracks in images with strong radiometric jumps by applying filters, gradient functions and morphological operators. The snake approach was one of them, in particular the type called Gradient Vector Flow (GVF). Another approach was based on the fuzzy theory. The advantage of this method is that the pixels, necessary to identify the cracks in road pavement, are darker than their surroundings in an image. The last stage was the pavement distress spatial database collection. The Mobile Mapping System (MMS) has allowed localizing the raster data and consequently the vector features of the detected cracks, associating into the table their attributes too. The proposed approaches allow to automatically localize and classify the kind of road pavement crack.Automatic Detection, Feature extraction methods, Gradient function, Gradient vector flow, Line-scan cameras, Mobile mapping systems, Morphological operator, Shape characteristicsA. Mancini;E. S. Malinverni;E. Frontoni;P. ZingarettiMancini, Adriano; Malinverni, Eva Savina; Frontoni, Emanuele; Zingaretti, Prim

FROM PANORAMIC PHOTOS TO A LOW-COST PHOTOGRAMMETRIC WORKFLOW FOR CULTURAL HERITAGE 3D DOCUMENTATION

The research aims to optimize a workflow of architecture documentation: starting from panoramic photos, tackling available instruments and technologies to propose an integrated, quick and low-cost solution of Virtual Architecture. The broader research background shows how to use spherical panoramic images for the architectural metric survey. The input data (oriented panoramic photos), the level of reliability and Image-based Modeling methods constitute an integrated and flexible 3D reconstruction approach: from the professional survey of cultural heritage to its communication in virtual museum. The proposed work results from the integration and implementation of different techniques (Multi-Image Spherical Photogrammetry, Structure from Motion, Imagebased Modeling) with the aim to achieve high metric accuracy and photorealistic performance. Different documentation chances are possible within the proposed workflow: from the virtual navigation of spherical panoramas to complex solutions of simulation and virtual reconstruction. VR tools make for the integration of different technologies and the development of new solutions for virtual navigation. Image-based Modeling techniques allow 3D model reconstruction with photo realistic and high-resolution texture. High resolution of panoramic photo and algorithms of panorama orientation and photogrammetric restitution vouch high accuracy and high-resolution texture. Automated techniques and their following integration are subject of this research. Data, advisably processed and integrated, provide different levels of analysis and virtual reconstruction joining the photogrammetric accuracy to the photorealistic performance of the shaped surfaces. Lastly, a new solution of virtual navigation is tested. Inside the same environment, it proposes the chance to interact with high resolution oriented spherical panorama and 3D reconstructed model at once

HBIM IMPLEMENTATION for AN OTTOMAN MOSQUE. CASE of STUDY: SULTAN MEHMET FATIH II MOSQUE in KOSOVO

none5noNational Strategy For Cultural Heritage 2017-2027 is a Kosovo Government document that aims the enhancement of the system for the protection and preservation of Kosovan cultural heritage. Among the listed goals, one can find the promotion of an integrated data management approach towards cooperation platforms that involve advanced technologies and information systems applied to cultural heritage. In a country with a low technological progress, as Kosovo is, an innovative information management system like HBIM is a huge challenge. This research contributes in opening the debate about the use of HBIM even for historical architecture, illustrating a methodology of information management promoting the conservation and the valorization of a Kosovan ottoman mosque. The workflow pipeline started with the close range photogrammetric survey, obtaining first spherical panoramas and then the wire-frame processed in a 3D modelling environment, suitable to implement the HBIM project. Basing on the accuracy of the data acquisition, the availability of information about the building and the related level of knowledge, we proposed a semantic representation of the complex structure integrating in an HBIM collecting in an "ad hoc" database the geometrical building components, enriched with attributes as images, materials, decay, interventions, etc., linked to each features. Our approach is an example of how efficient semantic classification can be repeated for the analysis and the documentation of other similar ottoman mosque, simplifying the management of construction by a sort of unique and searchable archive. The advantage of the interoperability concept allows the data sharing is now stressed by HBIM.openDi Stefano F.; Malinverni E.S.; Pierdicca R.; Fangi G.; Ejupi S.Di Stefano, F.; Malinverni, E. S.; Pierdicca, R.; Fangi, G.; Ejupi, S

HBIM IMPLEMENTATION FOR AN OTTOMAN MOSQUE. CASE OF STUDY: SULTAN MEHMET FATIH II MOSQUE IN KOSOVO

Abstract. National Strategy For Cultural Heritage 2017–2027 is a Kosovo Government document that aims the enhancement of the system for the protection and preservation of Kosovan cultural heritage. Among the listed goals, one can find the promotion of an integrated data management approach towards cooperation platforms that involve advanced technologies and information systems applied to cultural heritage. In a country with a low technological progress, as Kosovo is, an innovative information management system like HBIM is a huge challenge. This research contributes in opening the debate about the use of HBIM even for historical architecture, illustrating a methodology of information management promoting the conservation and the valorization of a Kosovan ottoman mosque. The workflow pipeline started with the close range photogrammetric survey, obtaining first spherical panoramas and then the wire-frame processed in a 3D modelling environment, suitable to implement the HBIM project. Basing on the accuracy of the data acquisition, the availability of information about the building and the related level of knowledge, we proposed a semantic representation of the complex structure integrating in an HBIM collecting in an "ad hoc" database the geometrical building components, enriched with attributes as images, materials, decay, interventions, etc., linked to each features. Our approach is an example of how efficient semantic classification can be repeated for the analysis and the documentation of other similar ottoman mosque, simplifying the management of construction by a sort of unique and searchable archive. The advantage of the interoperability concept allows the data sharing is now stressed by HBIM.</p

MODELLING IN HBIM TO DOCUMENT MATERIALS DECAY BY A THEMATIC MAPPING TO MANAGE THE CULTURAL HERITAGE: THE CASE OF "CHIESA DELLA PIETÀ" IN FERMO

Abstract. Relevant, historically, it is the role of the Diocese of Fermo (Italy) in the Vatican organization dedicated to vast ecclesiastical patrimony on the territory of the Marche region. In this context, for the peculiarity of its identity and its property, the object of this study is the "Chiesa della Pietà". This research starts with the photogrammetric survey to document and analyse the existing condition of the church. The data acquisition provides many scans following a network schema and the photographic survey allows to create orthoimages to make more realistic the 3D representation. Once acquired the geometric and material survey, a series of investigations have been carried out to assess the surface degradation and the material decay of the external façades and internal environments. Furthermore, some structural problems have been occurred, investigating and verifying the presence of advanced stages of deterioration of the wooden structures and the restoration of these structural elements must be mandatory. To take under control the decay and to propose a restoration step, we have arranged the 3D model in HBIM software with different LOD, according to the BIM Forum Level of Development Specification (2016), suitable to develop a well-structured information system. Before the 3D modelling phase, a decomposition of the building is useful to implement a semantic classification of the architectural elements. Basing on a hierarchy of classes and subclasses, the dedicated database organizes the building components assigning an ID-code to the features, putting in evidence materials decay by a thematic mapping.</p

Identifying the use of a park based on clusters of visitors' movements from mobile phone data

none6noPlanning urban parks is a burdensome task, requiring knowledge of countless variables that are impossible to consider all at the same time. One of these variables is the set of people who use the parks. Despite information and communication technologies being a valuable source of data, a standardized method which enables landscape planners to use such information to design urban parks is still broadly missing. The objective of this study is to design an approach that can identify how an urban green park is used by its visitors in order to provide planners and the managing authorities with a standardized method. The investigation was conducted by exploiting tracking data from an existing mobile application developed for Cardeto Park, an urban green area in the heart of the old town of Ancona, Italy. A trajectory clustering algorithm is used to infer the most common trajectories of visitors, exploiting global positioning system and sensor-based tracks. The data used are made publicly available in an open dataset, which is the first one based on real data in this field. On the basis of these user-generated data, the proposed datadriven approach can determine the mission of the park by processing visitors' trajectories whilst using a mobile application specifically designed for this purpose. The reliability of the clustering method has also been confirmed by an additional statistical analysis. This investigation reveals other important user behavioral patterns or trends.openPierdicca R.; Paolanti M.; Vaira R.; Marcheggiani E.; Malinverni E.S.; Frontoni E.Pierdicca, R.; Paolanti, M.; Vaira, R.; Marcheggiani, E.; Malinverni, E. S.; Frontoni, E

Comparing Mobile Laser Scanner and manual measurements for dendrometric variables estimation in a black pine (Pinus nigra Arn.) plantation

The growing demand of ecosystem services provided by forests increased the need for fast and accurate field survey. The recent technological innovations fostered the application of geomatic tools and processes to different fields of the forestry sector. In this study we compared the efficiency and the accuracy of Mobile Laser Scanner (MLS), combined with Simultaneous Localization and Mapping (SLAM) technology, and traditional field survey for the mensuration of main forest dendrometric variables like stem diameter at breast height (DBH), individual tree height (H), crown base height (CBH) and branch-free stem volume (VOL). With ground truth measurements taken from 50 felled trees, we tested the applicability of MLS technology for individual tree parameters esti-mation in a conifer plantation in central Italy. Our results showed no bias of DBH estimates and the corre-sponding RMSE was equal to 10.8% (2.7 cm). H and CBH measured with MLS were underestimated compared to the ground truth (bias of-8.6% for H and-13.3% for CBH). VOL values showed a bias and a RMSE of-4.1% (-0.01 m(3)) and 12.4% (0.04 m3) respectively. Tree height is not perfectly estimated due to laser obstruction by crowns layer, but the acquisition speed of this survey, joined with a suitable accuracy of parameters extraction, suggests sufficient suitability of the method for operational applications in simple forest structures (e.g. one-layered stands)

DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OF CULTURAL HERITAGE

Abstract. The promotion of Cultural Heritage (CH) goods has become a major challenges over the last years. CH goods promote economic development, notably through cultural and creative industries and tourism. Thus, an effective planning of archaeological, cultural, artistic and architectural sites within the territory make CH goods easily accessible. A way of adding value to these services is making them capable of providing, using new technologies, a more immersive and stimulating fruition of information. In this light, an effective contribution can be provided by sentiment analysis. The sentiment related to a monument can be used for its evaluation considering that if it is positive, it influences its public image by increasing its value. This work introduces an approach to estimate the sentiment of Social Media pictures CH related. The sentiment of a picture is identified by an especially trained Deep Convolutional Neural Network (DCNN); aftewards, we compared the performance of three DCNNs: VGG16, ResNet and InceptionResNet. It is interesting to observe how these three different architectures are able to correctly evaluate the sentiment of an image referred to a ancient monument, historical buildings, archaeological sites, museum objects, and more. Our approach has been applied to a newly collected dataset of pictures from Instagram, which shows CH goods included in the UNESCO list of World Heritage properties.</p