polito.it
Politecnico di Torino (logo)

Autonomous burnt area detection model

Giovanni Nini

Autonomous burnt area detection model.

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

[img]
Preview
PDF (Tesi_di_laurea) - Tesi
Document access: Anyone
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

Download (20MB) | Preview
Abstract:

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.

Relators: Paolo Garza, Alessandro Farasin
Academic year: 2017/18
Publication type: Electronic
Number of Pages: 94
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/8197
Modify record (reserved for operators) Modify record (reserved for operators)