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Preliminary version of algorithms for automatic or semi-automatic extraction of information from digital twin using machine learning technique

Year: 2025

Type: article

Abstract: The report aims at describing the preliminary version of an image semantic segmentation algorithm capable of speeding up the detection of flooded areas and related damages. It describes the initial needs, the study of the state of the art algorithms for such a class of problems and the challenges faced during the training and, being still a work in progress, future outlooks for its development.

Source: Istituto Nazionale di Fisica Nucleare. Centro Nazionale Analisi Fotogrammi

DOI: 10.15161/oar.it/dsxft-bad71

Authors: Eva, Sciacca, Mauro, Imbrosciano, Francesco, Franchina

Institution: National Institute for Astrophysics

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6961941355

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