Publication Type:

Journal Article

Source:

Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.663-679 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042423642&doi=10.1007%2f978-3-319-71767-8_58&partnerID=40&md5=58b92037d9427ce81383c83f076a2b87

Abstract:

<p>The functionality of automated tool developed for computing quality metrics to assess the satellite image quality and characteristics is presented in this paper. The tool facilitates to analyse quantitatively different sets of satellite images. This tool can also be used to compare the different sets of satellite images. In this paper, we present quality metrics based on single image and multiple images, thus aiding in relative characterization. The tool estimates the Modulation Transfer Function (MTF) and converts the gray image to reflectance image. GUI has been developed for operational convenience and a log file is maintained for recording the generated parameters. © 2018, Springer International Publishing AG.</p>

Notes:

cited By 0

Cite this Research Publication

M. P. Deepak, Kamalaveni, V., Venkateswarlu, E., Nair, T., Swamy, G. P., and B. Krishna, G., “Automated tool for assessment of satellite image quality and characteristics”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 663-679, 2018.

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