Politecnico di Torino (logo)

Autonomous burnt area detection model

Nini, Giovanni

Autonomous burnt area detection model.

Rel. Paolo Garza, Alessandro Farasin. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

PDF (Tesi_di_laurea) - Tesi
Accesso al documento: Accesso libero
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

Download (20MB) | Preview

This project was mainly composed of two parts. The first one was related to the analysis of satellite data in terms of sources, format and how to work on them. The second one was about properly managing the acquired information, in terms of satellite imagery, in order to build a machine learning model, by means of neural netwoks, capable of detecting burnt areas in a given picture crop.

Relatori: Paolo Garza, Alessandro Farasin
Anno accademico: 2017/18
Tipo di pubblicazione: Elettronica
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA
Aziende collaboratrici: NON SPECIFICATO
URI: http://webthesis.biblio.polito.it/id/eprint/8197
Modifica (riservato agli operatori) Modifica (riservato agli operatori)