Satellite Image Classification Using Unsupervised Machine Learning

Authors

  • Shahad A. Alabidi
  • Ehsan Ali Al-Zubaidi

Keywords:

Unsupervised, Google Erath Engine, Machine Learning, Satellites Image, Remote Sensing.

Abstract

In recent years, humans rely heavily on space Satellites are especially for communications, military defence, intelligence, science and Trade. As a result of the development of artificial intelligence technology, especially machine learning and deep learning, Time can be saved by using satellite images, which can offer a wealth of large-scale information on the Earth's surfaces quickly. Advanced image processing techniques have been used to improve the resolution of acquired objects with the emergence of sensors that give satellite images. Research on ways to apply it in various fields has been actively conducted. This paper summarizes research activities using machine learning using a search engine to survey the number of research proposals submitted in 2013 and 2024 and the number of papers published in the past five years, although the purpose of applying machine learning as there was a relatively large number of studies involving learning Automated. There has also been increasing interest in new methods such as reinforcement learning.

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Published

2024-07-18

Issue

Section

Articles