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.

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

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.

scholarly journals Digital processing of space images using global filtering in the frequency area

2021 ◽  
Vol 333 ◽  
pp. 01012
Author(s):  
Valeriy Tutatchikov ◽  
Mikhail Noskov
Keyword(s):  
Remote Sensing ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Satellite Images ◽  
Low Frequency ◽  
Digital Processing ◽  
Image Filtering ◽  
Two Dimensional ◽  
Space Images ◽  
Frequency Area

In modern systems, remote sensing widespread two-dimensional fast Fourier transform (FFT) for processing satellite images and the subsequent image filtering. In this paper we consider the possibility of using combinations of high and low frequency filters to improve global images terrestrial surface.

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

2017 ◽  
Author(s):  
Denitsa Borisova ◽  
Maretta Kazaryan ◽  
Mihail Shakhramanyan ◽  
Roumen Nedkov ◽  
Andrey Richter ◽  
...  
Keyword(s):  
Remote Sensing ◽  
The Earth ◽  
Wavelet Transformations

scholarly journals Remote Sensing of the Earth as a Method of Assessing Environmental Quality of Urban Areas

2020 ◽  
pp. 5-12
Author(s):  
S.A. Yeprintsev ◽  
O.V. Klepikov ◽  
S.V. Shekoyan
Keyword(s):  
Remote Sensing ◽  
Environmental Quality ◽  
Urban Areas ◽  
Satellite Images ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Space Images ◽  
The Earth ◽  
Voronezh Region

Introduction: Spatial zoning of an urban area by the level of anthropogenic burden using land-based research methods is very time-consuming. Since the end of the 20th century, the usage of the Earth remote sensing (ERS) techniques has served as their more efficient alternative. The study objectives included geoinformation zoning and evaluation of the level of technogenic changes in the areas according to NDVI (Normalized Difference Vegetation Index) values. Materials and methods: The cities of the Voronezh Region and their suburban ten-kilometer territories were chosen as the study objects. For the spatial analysis of the area of anthropogenically modified territories based on the example of the cities of the Voronezh Region we created an archive of multichannel satellite images taken by the Landsat-7 and Landsat-8 satellites. The data were borrowed from the Website of the US Geological Survey. Space images were grouped by two periods (the years of 2001 and 2016). Depending on NDVI values, territories with high and low anthropogenic burden, natural framework zones, and water bodies were distinguished. Results: We established that the smallest percentage of areas of the natural framework and their poor location was observed in the city of Voronezh. The largest area occupied by the natural framework was identified within the town of Borisoglebsk. This fact is attributed to the sensible policy of ensuring environmental and hygienic safety of the population implemented by the regional and municipal authorities. Discussion: At present, it is still impossible to fully use space monitoring data to assess health risks of technogenic factors; they can only be used simultaneously with ground monitoring that includes instrumental and laboratory monitoring of environmental quality indicators within the framework of the socio-hygienic monitoring. Conclusions: The analysis of changes in the proportion of areas with a high anthropogenic burden relative to the natural framework performed using satellite images taken in 2001 and 2016 showed an increase in the technogenic burden on the urban environment.

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 VECTOR DATA DIFFERENCES IDENTIFICATION IN THE THEMATIC PROCESSING OF SPACE IMAGES

2017 ◽  
pp. 47-52
Author(s):  
A. A. Zalatoi ◽  
A. V. Urbanovich
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Research And Development ◽  
Thematic Analysis ◽  
Topographic Mapping ◽  
Vector Data ◽  
Target Information ◽  
Space Images ◽  
The Earth ◽  
Thematic Processing

The problem of differences identifying in vector graphics data packages and how to solve it is considered. Map information and vectorized data of remote sensing of Earth are sources of vector data in the article. The aim is to design a method for detecting differences in vector data packages, providing reliable results for updating map and monitoring areas tasks. Research and development is done by mathematical modeling of the task in MATLAB. The article provides developed method for solving the task and results of its application for finding differences between two vector data packages, obtained from the target information of remote sensing of the Earth, and/or vector layers of digital district map. This method allows you to automate the process and reduce the time of thematic analysis of cosmic information, obtained from remote sensing of the Earth for topographic mapping and monitoring areas.

Forecast of manifestations of dangerous geological processes in Dnipropetrovsk with the use of methods of aerospace remote sensing of the Earth

2004 ◽  
Vol 10 (5-6) ◽  
pp. 194-196
Author(s):  
V.I. Voloshin ◽  
◽  
A.S. Levenko ◽  
N.N. Peremetchik ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Geological Processes ◽  
The Earth
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