Application of Artificial Neural Networks inSatellite Imaging – A Systematic Review

Artificial Neural Networks (ANN) and deep learning have been instrumental in the advancement of technology around the world for about 50 years, but because of the high costs associated with developing an optimal training and testing dataset, researchers have had to deal with several issues such as segmentation of images with low spatial resolution, object recognition, classification, and their use in the processing of satellite images has yet to reach its full potential. This work includes a thorough assessment of a significant body of research literature as well as the most important publications released in the last decade. The IEEE digital library, Science Direct, and SCOPUS system database indexing repository were the key sources for the review after applying various criteria, 386 publications pertaining to the case study were discovered. With 30 of them, grounds for exclusion and inclusion are discussed in further detail. Finding an upward trend in the level of research done in recent years indicates that this artificial neural network technology is getting more and more popular and curious.