Title: Application of the Method of Orthogonal Projection for Identification of Objects without Specified Shape in Multispectral Analysis.
Authors: Gerus, A. V.; Panova, O. Yu.; Savorskii, V. P.
Abstract: An approach for identification of objects without specified shape using multispectral satellite data is developed. The approach is based on the orthogonalization procedure in extended multidimensional spectral space in which filters that are orthogonal to the hypotheses of desired and similar objects are calculated and, then, scalarly multiplied by the spectra under study. It is shown that normalized rather than original spectra must be used, which leads to a significant decrease in variability of spectra that results in worse recognition of objects and specific calibration must be employed for suppression of atmospheric distortions. It is shown that such a method provides significantly higher recognizability in comparison with the least-squares method that is used in most recognition techniques.
Subjects: ORTHOGRAPHIC projection; ORTHOGONALIZATION; OBJECT recognition (Computer vision); IDENTIFICATION
Publication: Journal of Communications Technology & Electronics, 2020, Vol 65, Issue 10, p1173
ISSN: 1064-2269
Publication type: Academic Journal
DOI: 10.1134/S1064226920100022

Application of the Method of Orthogonal Projection for Identification of Objects without Specified Shape in Multispectral Analysis.

Gerus, A. V.; Panova, O. Yu.; Savorskii, V. P.