Pranav V

Work place: Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, India.



Research Interests: Image Processing, Image Manipulation, Image Compression, Computer Vision, Computational Learning Theory, Computer systems and computational processes


Pranav V received B.Tech degree in Computer Science and Engineering and M.Tech degree in Computer Vision and Image Processing from Amrita University. He has done a project on ‘Development of NIIRS measures for IRS imagery’ at Data Processing, Products Archival and Web Applications Area, National Remote Sensing Centre, ISRO, Hyderabad, India. His research interests include Machine Learning, Computer Vision and Image Processing.

Author Articles
Estimation of NIIRS Incorporating an Automated Relative Edge Response Method

By Pranav V E.Venkateswarlu Thara Nair G.P.Swamy B. Gopala Krishna

DOI:, Pub. Date: 8 Nov. 2017

The quality of remote sensing satellite images are expressed in terms of ground sample distance, modular transfer function, signal to noise ratio and National Imagery Interpretability Rating Scale (NIIRS) by user community. The proposed system estimates NIIRS of an image, by incorporating a new automated method to calculate the Relative Edge Response (RER). The prominent edges which contribute the most for the estimation of RER are uniquely extracted with a combined application of certain filters and morphological operators. RER is calculated from both horizontal and vertical edges separately and the geometric mean is considered as the final result. Later applying the estimated RER along with other parameters, the system returns the NIIRS value of the input image. This work has proved the possible implementation of automated techniques to estimate the NIIRS from images and specifics in the metafile contents of imagery.

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