scholarly journals Space monitoring of the earth on the presence of solid domestic wastes using a discrete orthogonal transforms

2017 ◽  
Vol 14 (3) ◽  
pp. 343-364 ◽  
Author(s):  
Maretta Kazaryan ◽  
Mihail Shahramanyan ◽  
Andrey Richter
Keyword(s):  
Wavelet Transform ◽  
Uniform Convergence ◽  
Waste Disposal ◽  
Lipschitz Class ◽  
Summable Function ◽  
Space Images ◽  
The Earth ◽  
Discrete Orthogonal ◽  
Orthogonal Transforms

The paper investigates multivariate Wavelet Haar?s series. To study on the correctness is made by means of Tikhonov?s method. A theorem on stability and uniform convergence of a regularized summable function of the wavelet-Haar?s series functions in Lipschitz class with approximate coefficients is proved. An experiment confirms the validity of Tikhonov?s method using space monitoring of waste disposal facilities is conducted as an example. Namely, the decoding of space images-images using N-dimensional Haar?s wavelet transform is used.

scholarly journals Waste disposal facilities monitoring based on high-resolution information features of space images

2020 ◽  
Vol 157 ◽  
pp. 02029
Author(s):  
Maretta Kazaryan ◽  
Arsen Simonyan ◽  
Simon Simavoryan ◽  
Elena Ulitina ◽  
Rafik Aramyan
Keyword(s):  
High Resolution ◽  
Waste Disposal ◽  
Mathematical Analysis ◽  
Stochastic Geometry ◽  
Point Of View ◽  
Tikhonov Regularization Method ◽  
Space Images ◽  
Discrete Orthogonal ◽  
Attribute Space ◽  
Selection Of

In the article there is represented and solved the problem of space images recognition for the presence of solid household and industrial waste without binarization. The methods of stochastic geometry and mathematical analysis are used. In the work there is proposed an algorithm based on a trace transformation using discrete orthogonal transformations (DOT) to minimize the attribute space and carry out studies on correctness by Tikhonov. For the implementation of the algorithm there are used elements of mathematical analysis, wavelet analysis, functional analysis, theory of discrete orthogonal transformations, methods for deciphering space images in the problem of stochastic scanning of space images based on the formation of a triplet attribute with minimization of attribute space using DOT. The development a trace matrices and the selection of informative features by stochastic geometry to find WDF from high-resolution space images are investigated from the point of view of DOT apparatus application. A study of the sustainability task was also performed. The proposed technique was tested using the example of space photographs with a WDF image. Conclusions are drawn on the use of the method proposed in this article for the task of automatic computer generation and selection of informative features for determining waste disposal facilities from high-resolution space images. It is proposed to use the Tikhonov regularization method to introduce stability in this task.

scholarly journals Investigation of the basic Haar wavelet-transformations in the problem of decryption of space images on detection of waste disposal fields

2018 ◽  
Vol 30 ◽  
pp. 103-122
Author(s):  
Maretta Kazaryan ◽  
Mikhail Shahramanian ◽  
Svetoslav Zabunov
Keyword(s):  
Remote Sensing ◽  
Waste Disposal ◽  
Wavelet Transforms ◽  
Experimental Studies ◽  
Haar Wavelet ◽  
Wavelet Expansion ◽  
Two Dimensional ◽  
Space Images ◽  
The Earth ◽  
Wavelet Transformations

In this paper, we study the use of orthogonal transformations, namely, the basic Haar wavelet transforms, for data processing of the Earth remote sensing. The internal structure of orthogonal Haar transforms is considered. The Haar matrix is divided into blocks of the same type, so that parallelization of the computations is possible. The expediency of replacing the spectral components corresponding to the whole block (or several blocks) of the original matrix with zeros is asserted. Theoretical and experimental studies are carried out to improve the results of image classification (on the example of cluster analysis). The Haar wavelet expansion coefficients are used as indicators when decoding space images for the presence of waste disposal sites. The aim of this paper is to describe the approach, on the basis of which an optimal method is established on a class of vectors with real components, application of two-dimensional discrete Haar wavelet transformations in the problem of recognition of space images for the presence of waste disposal sites. General methodology of research. The paper uses elements of mathematical analysis, wavelet analysis, the theory of discrete orthogonal transformations, and methods for decoding cosmic images. Scientific novelty. Encoding by means of conversion is an indirect method, especially effective in processing of two-dimensional signals, in particular, space images used for remote sensing of the Earth. We propose the approach that takes into account the structure of the wavelet-Haar matrix, while recognizing waste disposal fields by means of space images. The article comprises the result of the experimental application of wavelet-Haar transformations for decoding of space images. We consider this case, both with and without the technique of taking into account the structure of the wavelet-Haar matrices.

Forecasting the fl ood situation using space images in the city of Tavda Sverdlovsk region

2018 ◽  
Vol 934 (4) ◽  
pp. 46-52
Author(s):  
A.S. Bruskova ◽  
T.I. Levitskaya ◽  
D.M. Haydukova
Keyword(s):  
Water Levels ◽  
Economic Damage ◽  
Geoinformation System ◽  
Space Images ◽  
Geoinformation Systems ◽  
Emergency Situations ◽  
The Earth ◽  
Maximum Water ◽  
The City

Flooding is a dangerous phenomenon, causing emergency situations and causing material damage, capable of damaging health, and even death of people. To reduce the risk and economic damage from flooding, it is necessary to forecast flooding areas. An effective method of forecasting emergency situations due to flooding is the method of remote sensing of the Earth with integration into geoinformation systems. With the help of satellite imagery, a model of flooding was determined based on the example of Tavda, the Sverdlovsk Region. Space images are loaded into the geoinformation system and on their basis a series of thematic layers is created, which contains information about the zones of possible flooding at given water level marks. The determination of the area of flooding is based on the calculation of the availability of maximum water levels at hydrological stations. According to the calculated security data, for each hydrological post, flood zones are constructed by interpolation between pre-calculated flood zones of standard security. The results of the work can be used by the Main Directorate of the Ministry for Emergency Situations of Russia for the Sverdlovsk Region.

scholarly journals Impact of forest fire on the vegetable cover of radioactively contaminated areas

2021 ◽  
pp. 68-80
Author(s):  
V. Landin ◽  
O. Tishchenko ◽  
V. Gurelia ◽  
T. Kuchma ◽  
V. Feshchenko
Keyword(s):  
Remote Sensing ◽  
Spectral Data ◽  
Nature Reserve ◽  
Dry Forest ◽  
Exclusion Zone ◽  
Space Images ◽  
The Earth ◽  
Drainage Canals ◽  
The Impact ◽  
Artificial Reservoirs

This article presents the results of assessing the impact of fires on the vegetation of the Chernobyl Exclusion Zone and the zone of unconditional (mandatory) resettlement, Drevlyansky Nature Reserve using means of remote sensing of the Earth for the period from 1986 to 2020. The methods and criteria for assessing vegetation damage using spectral data obtained from space satellites of the Earth and using methods of geoinformation technologies are proposed. This methodology provides mapping vegetation through remote sensing imagery. Comparing space images of the territory of the exclusion zone and the zone of unconditional mandatory resettlement for 1986, 1999, 2013, 2017, 2018, 2019, 2020, for the period of 34 years after the accident, identified significant changes in the condition of lands belonging to forest and agricultural lands. In the result of the study revealed the changes observed in the boundaries of water bodies because drying of artificial reservoirs, changes in the direction of riverbeds, waterlogging of drainage canals and adjacent forest areas. The identified effect from fires in forests where dry forest materials have accumulated and from consequences of forest management. It is also noted, that according to the spectral data of space images, areas of forest damaged by insects are well defined. The study reveals

Experimental Image Analyzer-synthesizer based on the novel discrete orthogonal transforms

Eurocon 2013 ◽  
2013 ◽  
Author(s):  
Gatis Valters ◽  
Uldis Derums ◽  
Kriss Osmanis ◽  
Peteris Misans
Keyword(s):  
Image Analyzer ◽  
The Novel ◽  
Discrete Orthogonal ◽  
Experimental Image ◽  
Orthogonal Transforms

Assessment of the State of the Territories of Closed Waste Disposal Facilities by Vegetation Indices

2021 ◽  
Vol 25 (9) ◽  
pp. 30-37
Author(s):  
N.N. Sliusar ◽  
A.P. Belousova ◽  
G.M. Batrakova ◽  
R.D. Garifzyanov ◽  
M. Huber-Humer ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Waste Disposal ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Vegetation Indices ◽  
Cost Effective ◽  
Google Earth ◽  
The State ◽  
Landsat 8 ◽  
The Earth

The possibilities of using remote sensing of the Earth data to assess the formation of phytocenoses at reclaimed dumps and landfills are presented. The objects of study are landfills and dumps in the Perm Territory, which differed from each other in the types and timing of reclamation work. The state of the vegetation cover on the reclaimed and self-overgrowing objects was compared with the reference plots with naturally formed herbage of zonal meadow vegetation. The process of reclamation of the territory of closed landfills was assessed by the presence and homogeneity of the vegetation layer and by the values of the vegetation index NDVI. To identify the dynamics of changes in the vegetation cover, we used multi-temporal satellite images from the open resources of Google Earth and images in the visible and infrared ranges of the Landsat-5/TM and Landsat-8/OLI satellites. It is shown that the data of remote sensing of the Earth, in particular the analysis of vegetation indices, can be used to assess the dynamics of overgrowing of territories of reclaimed waste disposal facilities, as well as an additional and cost-effective method for monitoring the restoration of previously disturbed territories.

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