Urban exploration using satellite and medical data

Abstract

The purpose of this contribution is to leverage the integration of medical and Earth observation (EO) data with artificial intelligence (AI) to estimate the potential impact of future transmissible diseases, with a specific focus on cancer patients. By combining medical treatment progress and monitoring the living environment from space, this research aims to provide valuable insights into the estimation of healthcare requirements and resource allocation from various perspectives. Both remote sensing and medical fields benefited a lot from the machine learning methods, originally developed for computer vision and multimedia. We investigate the applicability of the same data mining-based machine learning technique for exploring the structure of both Earth observation (EO) and medical image data. The methodology has been tested by several experts, and the results were checked by either comparing them with reference data or through the feedback given by these experts in the field.