1,720,964 research outputs found
A Deep Learning Approach for Urban Block: Automated Extraction Tool for Urban Forms
Get PDFIncreasing access to geographic data and mapping technologies has pushed urban morphology research toward more quantitative and data-driven approaches. At the same time, the unprecedented rapid change in the urban form has prompted a growing number of research to capture, analyze, and understand the phenomenon in recent years. However, a thorough, systematic approach to evaluating and comparing urban forms in this setting is yet to be developed. The aim of this study is to build a comprehensive approach to defining urban form indicators by developing a simplified yet representative classification of the urban form. Notably, urban block as a constitutional feature of urban form is evaluated in relation to numerical indices. The applied methodology comprises the detection and classification of urban form using a deep convolutional neural network. The study attempts to use automated methods to address the gap in urban form classification and characterization. The methodological process encompasses a non-local classification of urban form, followed by an examination of the identified features of the urban block. The preliminary outcome of this study consists of an in-depth analysis of urban block indicators in the comparative literature. This will be one of the inputs of the deep learning model to classify urban blocks
A Systematic Approach to Urban Block: Defining Automatic Tool for Urban Form
Get PDFThe unprecedented rapid change in the urban form has prompted a growing number
of research to analyze and understand the phenomenon in recent years. In a never-ending
cycle of change and re-elaboration, the broad diversity of urban forms that we see today
serves as the baseline for future and new forms. At the same time, the growing accessibility of
geographic data and mapping tools have boosted urban morphology studies. The burgeoning
development of automatic tools enables machines to get a human-like understanding of
urban form hinged on images. In this new context, a comprehensive, systematic method of
evaluation and comparison of forms needed to be defined. This study aims to present the
manual definition of urban form features to create systematic input for automatic tools.
Particularly, as a constitutional element of urban form, urban block is analyzed within the scope
of classification approaches. The preliminary step is to present organized knowledge of urban
block to understand how it is constructed. The methodological process is encompassed
detection and classification of urban block by in-depth analysis of relative literature. The
second step of the study is defined by using this structural classification to detect the urban
block with automatic tools such as a deep convolutional neural network. The preliminary
outcome of this study is the representation of urban block by providing a classification tree of
the urban block based on comparative literatur
A Comprehensive Methodology for Detecting, Classifying and Comparing Urban Blocks with Artificial Intelligence
Get PDFL'abstract è presente nell'allegato / the abstract is in the attachmen
Atlante dell'iper-muro
No full textLe Mura di Roma – Aureliane, Leonine e Gianicolensi – sono il più esteso monumento storico-archeologico della città (ben 19 km di fortificazioni) inserito nel nuovo Piano Regolatore di Roma.
Sopravvissute alle demolizioni della modernità, le Mura sono il palinsesto della storia dell’Urbe e una straordinaria risorsa urbana che fa da “sfondo” ai più importanti fatti urbani e architettonici della città – chiese, edifici, complessi, ville, giardini, acquedotti, monumenti. In quanto tali, esse sono una potenziale infrastruttura culturale, ambientale e narrativa che potrebbe riunire in un sistema anulare luoghi di particolare pregio storico-artistico e paesaggistico e favorire funzionamenti ecologici e sociali attraverso la riconnessione ai circuiti vitali della città, insieme a nuove forme di promozione e condivisione di un bene storico-archeologico unico al mondo
Artificial Intelligence and Urban Block—Building the Common Language
Get PDFThe research focuses on the application of AI in the field of urban morphology. The research takes urban blocks as a case study and treats urban block-related high-resolution images as data. The aim is to train an AI model to automatically detect urban block to conduct further quantitative analysis
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