Date of Publication :29th April 2024

Abstract:There are main two approaches to extract features of images to implement content based retrieval system. First is the conventional machine learning methods another is deep learn- ing convolution neural network architectures. In this letter, the literature review about various feature extraction methods used for feature ex- traction of query image and the images stored in databases has been explored. Efforts are made for detailed survey of deep learning approaches for the purpose of extraction of most important salient features of images directly affecting the retrieval performance for classifying the remote sensing images and finally retrieving most rele- vant top images.

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