Lolith Gopan

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



Research Interests: Data Structures and Algorithms, Image Processing, Computer Vision


Lolith Gopan received B.Tech degree in Computer Science and Engineering from Amrita University. He is pursuing M.Tech in Computer Vision and Image Processing at Amrita School of Engineering, Coimbatore. Currently, He is doing the M.Tech project work on ‘Scene Based Nonuniformity Correction for Optical Remote Sensing imagery” at DPPA&WA Area, National Remote Sensing Centre, ISRO, and Hyderabad. His research interests include Image Processing, Computer Vision and Data Structures.

Author Articles
Scene based Non-uniformity Correction for Optical Remote Sensing Imagery

By Lolith Gopan E.Venkateswarlu Thara Nair G.P.Swamy B. Gopala Krishna

DOI:, Pub. Date: 8 Dec. 2017

In this work, we propose and evaluate different scene based methods for non-uniformity corrections for optical remote sensing data sets. These methods can be used to correct or refine the existing radiometric calibrations, thereby improving the image quality. The performance of each algorithm against different datasets are analyzed and a quantitative comparison of different quality parameters viz. entropy, correlation coefficient, signal to noise ratio, peak signal to noise ratio and structural similarity index are carried out to recommend the best method for each scene.  For a given data set, the selected method depends on the severity, type of terrain it covered, etc.

[...] Read more.
Other Articles