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A Review on Various Content Based Remote Sensing Image Retrieval

L. P. Aswathi, K. Anoop

Abstract


Content based remote sensing image retrieval (CBRSIR) is a growing field. Remote sensing is the science of identifying and monitoring the physical features of a part by measuring its reflected and emitted radiations devoid of any physical contact from the targeted area. Remote sensing technologies are classified into active and passive remote sensing. In active remote sensing technologies the active sensors release energy so as to scan objects and targeted areas, as a result of which a sensor then detects and measures the radiation that is reflected. Passive sensors detect natural energy or radiation that is emitted or reflected by the scene or object being observed. Remote sensing allows easy collection of data over a variety of scales and resolution. CBRSIR process are classified into three based on the features, low level, mid-level and deep features. This paper provides a review on CBRSIR .The main applications of remote sensing are in agriculture, disaster rescue, land surveying etc.

 

Keywords: Noise filtering, histogram equalization, power law transformation


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