Hybrid methods for automatic landscape change detection in noisy data environment

Afanasyev, Anton; Zamyatin, Alexander

doi:10.18287/2412-6179-2017-41-3-431-440

Cited by 10 publications

(6 citation statements)

References 1 publication

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“…. (15) For simplicity, we will assume that the multiplicity of the AR for each of the axes is the same, and the parameter  is also the same for both axes. Then we can reduce condition (15)…”

Section: Covariance Functions Of Autoregressive Random Fields With Mumentioning

confidence: 99%

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Use autoregressions with multiple roots of the characteristic equations to image representation and filtering

Andriyanov

Vasiliev

2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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The article describes probabilistic properties of autoregressive models with multiple roots of characteristic equations as well as the results of such properties investigation. Particular attention is paid to the study of covariance functions. However, we investigate only such models of different orders that provides equal intervals of correlation in row and column. So the multiplicity of such models by row and column is the same. Asymptotic graphs of covariance functions cross-sections are constructed. It is shown that the cross-sections tend to ellipses when model orders are improving. We also describe in detail the problem of filtering images generated by autoregressions with multiple roots. Dependences of variances of filtering errors on the correlation parameter are obtained. The efficiency of filtering at various signal noise ratios and various orders of models is investigated. The effectiveness and expediency of applying autoregressions with multiple roots are shown in comparison with other autoregressions of high orders.

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Section: Covariance Functions Of Autoregressive Random Fields With Mumentioning

confidence: 99%

“…In this case, the application of algorithms based on such models, when processing real signals and in various applied problems, can contribute to improving the efficiency of solving such problems. In recent years, particular interest is caused by the processing of satellite images [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Use autoregressions with multiple roots of the characteristic equations to image representation and filtering

Andriyanov

Vasiliev

2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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“…After a detailed analysis of European and Russian ratings and evaluation systems, a methodology was developed for assessing cities to introduce technologies of the "digital state", taking into account all the features of the Volga region [3][4][5][6].…”

Section: Analysis Of Existing Ratings In the Concept Of "Digital State"mentioning

confidence: 99%

Data Modelling to Analyze How the Cities in the Volga Region Correspondent to the Digital State Format

Khaimovich¹,

Рамзаев²,

Chumak³

2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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The article suggests the methodology for assessing the readiness of Volga region municipal entities to introduce digital state. The authors worked out a model of statistic tests based on multiple probability theoretic and statistical modelling of parameter values of technological elements of digital economy. This model will allow the Volga region cities to define their possibility to participate in the State Program of Digital Economy, to choose cities most suitable for introduction of modern technologies, to identify the main shortcomings hindering their integration into the program. This research may be of interest to experts in the field of digital economy and Big Data management.

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“…Because of the forest belts multiplicity and dispersed distribution over the entire territory of Samara region, also as their location on the different subordination lands, as well as the lack of sufficient funds for their monitoring, the organization of a ground survey of the forest belts current state is extremely unlikely. That is why it is expedient to use for this task remote sensing images which are very helpful in many other problems on vegetation analysis [4][5][6]. The peculiarity of forest belts as a linear extended object of relatively small width actualizes the task of developing methods for their detection and assessment of the state, including using the spectral characteristics of these plantations.…”

Section: Problem Statementmentioning

confidence: 99%

Methods of detection and ecological state evaluation of protective forest belts using complex ground survey and remote sensing data processing

Kavelenova

Корчиков

Prokhorova

et al. 2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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The protective forest belt system of Samara region consists of several components created from the late 19th to the early 20th century, in the middle of the 20th century, in the 60-70s of the 20 th century, and more recent plantings. In the forest-steppe and steppe regions with a high level of agricultural transformations, the natural biological equilibrium of ecosystems is significantly disturbed. The protective forest belts play an important role in natural and anthropogenic landscapes conservation in Samara region. Because of numerous dispersed forest belt distribution throughout the Samara region territory, their different ownership and the lack of sufficient funds for their monitoring, it is difficult to organize belt state monitoring on the ground. The use of space imagery, which is processed during verification using data obtained from reference polygons, can help to overcome this situation. The peculiarity of forest belts as an extended object of relatively small width actualizes the task of developing the methods for their condition assessing. In this paper, some results of this work are analyzed for reference areas of field shelterbelts and roadside forest belts of the Samara region.

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Hybrid methods for automatic landscape change detection in noisy data environment

Cited by 10 publications

References 1 publication

Use autoregressions with multiple roots of the characteristic equations to image representation and filtering

Use autoregressions with multiple roots of the characteristic equations to image representation and filtering

Data Modelling to Analyze How the Cities in the Volga Region Correspondent to the Digital State Format

Methods of detection and ecological state evaluation of protective forest belts using complex ground survey and remote sensing data processing

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