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This article is cited in 7 scientific papers (total in 7 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
Impulse response identification for remote sensing images using gis data
A. Yu. Denisovaab, V. V. Sergeyevab a Image Processing Systems Institute, Russian Academy of Sciences
b Samara State Aerospace University
Abstract:
In this article the authors describe a new modification of the spectrum method that uses a known relation between the energy spectra of input and output signals to identify a linear observation model. The input undistorted image is assumed to be unknown. The modification proposed in this article uses known borders of image objects to construct an image with the energy spectrum similar to that of the original undistorted image.
Keywords:
identification, linear observation model, impulse response, energy spectrum, frequency response, energy spectrum method, geoinformation data.
Received: 30.07.2015 Revised: 24.08.2015
Citation:
A. Yu. Denisova, V. V. Sergeyev, “Impulse response identification for remote sensing images using gis data”, Computer Optics, 39:4 (2015), 557–563
Linking options:
https://www.mathnet.ru/eng/co17 https://www.mathnet.ru/eng/co/v39/i4/p557
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Abstract page: | 245 | Full-text PDF : | 77 | References: | 45 |
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