logo SBA

ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-02032025-094224


Tipo di tesi
Tesi di laurea magistrale
Autore
PATISSO, SALVATORE
Indirizzo email
s.patisso@studenti.unipi.it, salvatore.patisso.00@gmail.com
URN
etd-02032025-094224
Titolo
Towards detection of s-curves in satellite images using Deep Hough Transform
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING
Relatori
relatore Prof. Cococcioni, Marco
Parole chiave
  • Annotation tool
  • CNN
  • Data Augmentation
  • Deep Learning
  • Hough Transform
  • MATALB App Designer
  • MATLAB ImageLabeler
  • Preprocessing
  • S-curves
  • Satellite Images
  • YOLO
Data inizio appello
21/02/2025
Consultabilità
Non consultabile
Data di rilascio
21/02/2095
Riassunto
Riassunto tesi:
This thesis work aim to put basis towards the developement of a neural network based on the Hough Transform that can visually detect s-curves in radiofrequency satellite images. In this work it has been developed an annotation tool in MATLAB App Designer in order to be able to create a ground truth for the Hough Transform. It has been also used another MATLAB tool to manually annotate images in order to train a state-of-the-art object detection model, like YOLOv11, to use as bechmark for the future developed neural networks.
Preprocessing and data augmentation techniques has been applied to the dataset of simulated images in order to get around the problem of lacking of real images.There has been used data augmentation techinques that aims to make simulated images closer in their appearences to real images. Models obtained are then tested on the real images to see the if data augmentation techninques were usefull to improve detection capabilities on the real use cases images.
File