Content based image retrieval (CBIR) from large resources has become an area of wide interest nowadays in many applications. CBIR is very useful in several applications such as medical imaging, modern diagnosis, remote sensing and satellite imaging. The different types of images are subjected to set of operations used as constituent stages of CBIR. The method was initially used in 1990s and it is an image retrieval method using image vision contents such as color, texture, shape, spatial

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... nship, not using image notation to search images.Satellite imagery has become an important part of our information source. The amount of high resolution satellite imagery is growing rapidly, and much of it is now available to the public through various map services, such as Google Maps, etc. [ 174] The above related research survey highlights the findings and limitations of existing methods using different techniques for feature extraction and matching. The research challenge remains unaddressed is that the robust kind of method is really needed to implement CBIR for large dataset of images. CHALLENGES IN THE FIELD CBIR using image vision contents such as color, texture, shape spatial relationship not using image notation to search images. CBIR have many application in the different fields like crime prevention Medical diagnosis, military, geographical, information vice versa. All these applications have a scope to improve the efficiency and accuracy of CBIR system, resulting in the research needed in the field.