A Platform for Swimming Pool Detection and Legal Verification Using a Multi-Agent System and Remote Image Sensing

Hector Sánchez San Blas; Antía Carmona Balea; André Filipe Sales Mendes; Luis Augusto Silva Zendron; Gabriel Villarrubia González

Ayuda

A Platform for Swimming Pool Detection and Legal Verification Using a Multi-Agent System and Remote Image Sensing

Héctor Sánchez San Blas ^[1] ; Antía Carmona Balea ^[1] ; André Sales Mendes ^[1] ; Luís Augusto Silva ^[1] ; Gabriel Villarrubia González ^[1]
1. [1] Universidad de Salamanca
  
  Universidad de Salamanca
  
  Salamanca, España
Localización: IJIMAI, ISSN-e 1989-1660, Vol. 8, Nº. 4, 2023, págs. 153-165
Idioma: inglés
DOI: 10.9781/ijimai.2023.01.002
Enlaces
- Texto completo (pdf)
Resumen
- Spain is the second country in Europe with the most swimming pools. However, the legal literature estimates that 20% of swimming pools are not declared or irregular.The administration has a corps of people who manually analyze satellite or drone images to detect illegal or irregular structures. This method is costly in terms of effort and time, and it is also a method based on the subjectivity of the person carrying it out. This proposal aims to design a platform that allows the automatic detection of irregular pools. Using geographic information tools (GIS) based on orthophotography, combined with advanced machine learning techniques for object detection, allows this work. Furthermore, using a multi-agent architecture allows the system to be modular, with the possibility of the different parts of the system working together, balancing the workload. The proposed system has been validated by testing it in different towns in Spain. The system has shown promising results in performing this task, with an F1-Score of 97.1%.
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