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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 1, pp. 18-28

Superimposition of images from Russian Resource-P satellites

A.I. Alexanin 1 , S.M. Krasnopeev 2 , M.A. Morozov 1 , E.V. Fomin 1 
1 Institute of Automation and Control Processes FEB RAS, Vladivostok, Russia
2 Pacific Geographical Institute FEB RAS, Vladivostok, Russia
Accepted: 21.12.2017
DOI: 10.21046/2070-7401-2018-15-1-18-28
The task to be considered is the superimposition of high spatial resolution images (0.7 m) with pixel-level accuracy. To superimpose images, a SURF algorithm is used to search for identical objects in a sequence of images on the basis of automatically allocated reference points. A reference point shall be characterized as a position estimated by a Harris angle detector and a descriptor calculated within the vicinity of a preset size. Superimposition shall be realized as a result of structuring an affine transformation of the first image into the second one. Approbation was performed on test images which are usually used for verification of image superimposition methods and on satellite images of natural objects (forests, fields, etc.), changing over time. The influence of the variability of season-conditioned reference point descriptors on the accuracy of superimposition of the images was estimated, and the ambiguity of structuring such imaging was shown. The relationships between the number of constructed pairs of reference points and the preset accuracy of the affine transformation are demonstrated. The sizes of the superimposed image fragments are estimated when an affine transformation can still be applied for pixel-level accuracy superimposition. An algorithm of pixel-level accuracy superimposition of complete images is proposed. The issue of coupling of image fragments has been considered. An opportunity to detect areas, for which the terrain relief applied for superimposition is incorrect, has been shown.
Keywords: Resource-P, Geoton-L1, SURF, reference points, geometric correction, superimposition of images
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