STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

A Comparative Study of Statistical Features for Satellite Images with Natural Images

  1. M.A. Mamun
  2. M.N.I. Mondal
  3. B. Pal

Abstract

While satellite imaging involves several bands that capture the geographical features, the natural images taken from camera in real world uses RGB model, which is composed of three channels, where each image can store discrete pixels with conventional brightness intensities between 0 and 255. So, the uniqueness of the two imaging techniques is reflected in its bits of every pixel. It is well known that the whole information of an image is exclusively embedded in the bits of each pixel value by substitution, each bit-plane has an effect to original image. However, the impact of the bit-plane is different. This paper is mainly based on bit plane study of satellite images where the comparison is done with the natural digital images.  Cite this Article Mamun MA, Mondal MNI, Pal B. A Comparative Study of Statistical Features for Satellite Images with Natural Images. Journal of Image Processing & Pattern Recognition Progress. 2016; 3(2): 59–66p.

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