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Comparative analysis of interest points detection techniques for the registration of infrared and visible aerial photographs in pasture crops
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Paper Abstract

Registration is used in precision agriculture to adjust near-infrared aerial photographs and visible crop spectra to analyze crop growth and development. Vegetation indices can be calculated from the registered images. It is therefore necessary to study and analyze the most popular techniques for detecting points of interest. The points of interest found are used as reference in the images of both spectra. Thus, a comparative study of pasture crop images with four of the most popular point of interest detection techniques (Harris, SIFT, SURF and ORB) is presented here.

Paper Details

Date Published: 6 September 2019
PDF: 12 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111370G (6 September 2019); doi: 10.1117/12.2529293
Show Author Affiliations
Manuel G. Forero, Univ. de Ibagué (Colombia)
Andrea Acosta, Univ. de Ibagué (Colombia)
Alvaro Ducuara, Univ. de Ibagué (Colombia)
Yesmar Godoy, Univ. de Ibagué (Colombia)
Juan Guillermo Moreno, Univ. de Ibagué (Colombia)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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