Satellite Image Classification Using Unsupervised Machine Learning
Keywords:
Unsupervised, Google Erath Engine, Machine Learning, Satellites Image, Remote SensingAbstract
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.