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Satellite images have gained a wide popularity in the field of content-based image retrieval. A massive amount of these images are collected every year due to the high availability of satellites and computer technologies. However, extracting user-specific content from these images still remains a primary concern due to the presence of semantic gap. This limits the capabilities of CBIR. Therefore, an effective and efficient method is required for image retrieval. This paper puts forward a semantic-based image retrieval approach along with the advantages of hashing for better feature extraction and precise retrieval. Hashing accelerates the quality of similarity search among images by generating unique imagehash codes .This approach also aims to scale down the problems related to semantic gap for better retrieval results. General Terms Remote sensing, Satellites, Data sets, Content based image retrieval and Algorithms.

An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing