Mr. Andrey Richter Profile

Andrey Richter

at AEROCOSMOS Research Institute for Aerospace Monitoring

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Publications (4)

Proceedings Article | 26 October 2022 Poster + Paper

Reconstruction of 3D models of infrastructure objects from satellite images based on typed elements

M. Kazaryan, A. Richter, A. Gvozdev, A. Murynin, V. Kozub, D. Pukhovsky, M. Shakhramanyan, E. Semenishchev

Proceedings Volume 12269, 122690J (2022) https://doi.org/10.1117/12.2641134

KEYWORDS: Buildings, 3D modeling, Raster graphics, Satellites, Satellite imaging, Earth observing sensors, Image segmentation, 3D image processing, Data modeling

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Proceedings Article | 2 October 2019 Paper

Construction of 3D models of the Earth's surface in urban environments using remote sensing technologies

A. Richter, M. Kazaryan, M. Shahramanian, V. Voronin

Proceedings Volume 11157, 111570W (2019) https://doi.org/10.1117/12.2534749

KEYWORDS: Remote sensing, Environmental sensing, Process modeling, 3D modeling, Spatial resolution, Computer programming, Buildings, Roads, MATLAB

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Proceedings Article | 10 October 2017 Paper

Research of generalized wavelet transformations of Haar correctness in remote sensing of the Earth

Maretta Kazaryan, Mihail Shakhramanyan, Roumen Nedkov, Andrey Richter, Denitsa Borisova, Nataliya Stankova, Iva Ivanova, Mariana Zaharinova

Proceedings Volume 10427, 104271U (2017) https://doi.org/10.1117/12.2278572

KEYWORDS: Wavelets, Remote sensing, Satellite imaging, Earth observing sensors, Satellites, Image processing, Space operations, Transform theory, Wavelet transforms, Image filtering

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In this paper, Haar's generalized wavelet functions are applied to the problem of ecological monitoring by the method of remote sensing of the Earth. We study generalized Haar wavelet series and suggest the use of Tikhonov's regularization method for investigating them for correctness. In the solution of this problem, an important role is played by classes of functions that were introduced and described in detail by I.M. Sobol for studying multidimensional quadrature formulas and it contains functions with rapidly convergent series of wavelet Haar. A theorem on the stability and uniform convergence of the regularized summation function of the generalized wavelet-Haar series of a function from this class with approximate coefficients is proved. The article also examines the problem of using orthogonal transformations in Earth remote sensing technologies for environmental monitoring. Remote sensing of the Earth allows to receive from spacecrafts information of medium, high spatial resolution and to conduct hyperspectral measurements. Spacecrafts have tens or hundreds of spectral channels. To process the images, the device of discrete orthogonal transforms, and namely, wavelet transforms, was used. The aim of the work is to apply the regularization method in one of the problems associated with remote sensing of the Earth and subsequently to process the satellite images through discrete orthogonal transformations, in particular, generalized Haar wavelet transforms. General methods of research. In this paper, Tikhonov's regularization method, the elements of mathematical analysis, the theory of discrete orthogonal transformations, and methods for decoding of satellite images are used. Scientific novelty. The task of processing of archival satellite snapshots (images), in particular, signal filtering, was investigated from the point of view of an incorrectly posed problem. The regularization parameters for discrete orthogonal transformations were determined.

Proceedings Article | 6 September 2017 Paper

Quality enhancement of satellite images and its application for identification of surroundings of waste disposal sites

Andrey Richter, Maretta Kazaryan, Mihail Shakhramanyan, Roumen Nedkov, Denitsa Borisova, Nataliya Stankova, Iva Ivanova, Mariana Zaharinova

Proceedings Volume 10444, 104441N (2017) https://doi.org/10.1117/12.2277309

KEYWORDS: Satellite imaging, Earth observing sensors, Satellites, Pattern recognition, Image quality

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