Heuristic Criterion for Class Recognition by Spectral Brightness

Arkhipov, Alexandr; Glazunov, Nikolaj; Khyzhniak, A.V.

doi:10.1007/s10559-018-0010-7

Cited by 10 publications

(5 citation statements)

References 3 publications

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“…Probabilistic and statistical methods used to solve optimization problems, statistical theories of identification, recognition, and number theory are applied in [1] for the representation of the heuristic criterion of object classes' determination by the results of measuring their informational features. The calculation of the heuristic criterion (1) involves previously entered informative features of each standard class and automatic calculation of the probability ratio of the belonging of the studied object to the standard classes:…”

Section: Methods Of System Analysismentioning

confidence: 99%

Assessing aquatic enviromnemt quality of the urban water bodies by system analysis methods based on integrating remote sensing data

Fedorovsky¹,

Khyzhniak²,

Tomchenko³

2021

Kosm. nauka tehnol.

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The work presents the comprehensive methodology for assessment of the state of the urban aquatic environment such as Lakes Opechen, Verbne, and Redkyne in Kyiv using the methods of system analysis. The methodology includes structural-textural analysis of the satellite images and the method based on statistical criteria. The spectral-texture analysis of the satellite images was used to get input information for remote assessment of reservoirs as index images: Normalized Difference Pond Index (NDPI), Normalized Difference Turbidity Index (NDTI), and Normalized Difference Algae Index (NDAI) computed from the Sentinel-2. The surface temperature distribution was estimated from the Landsat 8. The method based on statistical criteria is used for a detailed assessment of the aquatic environment using the obtained indexed images and the corresponding cartographic representation of the water quality. The probabilistic and statistical approaches were used to present the statistical criterion for recognizing classes of objects based on the results of measuring their informative features. These approaches are used to solve optimization problems in statistical theories of identification and recognition. This method allowed the cartographic representing of the change in the water quality and aquatic ecosystem in accordance with the reference areas of the state of the reservoir in 2017.

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Section: Methods Of System Analysismentioning

confidence: 99%

Assessing aquatic enviromnemt quality of the urban water bodies by system analysis methods based on integrating remote sensing data

Fedorovsky¹,

Khyzhniak²,

Tomchenko³

2021

Kosm. nauka tehnol.

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“…Міра порівняння -це багатовимірна щільність розподілу площ, яка має максимальне значення при однакових площах і зменшується у міру збільшення різниці площ [2,14]. Потім вибирають рік з найбільшим значенням МП, тобто з найближчими площами окремих типів біотопів досліджуваного і вибраного року, що є підставою вважати їхні екологічні індекси якості води найбільш близькими.…”

Section: матеріали та методи дослідженняunclassified

Remote assessment of the ecological state of water bodies based on the multidimensional density distribution of biotope areas on the example of the Kyiv reservoir

Fedorovskyi¹,

Zub²,

Dyachenko³

et al. 2020

Kosm. nauka tehnol.

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“…In that case, the classification of this object is performed by calculating the probability of its relation to each of possible standard classes, and belonging is determined by the maximum value of the probability of its relation to the particular standard class. The calculation of the above probabilities is done using the heuristic criterion (1), which involves previously entered informative features of each standard class and automatic calculation of probability ratio of the belonging of the studied object to the standard classes [1]:…”

Section: Study Of the Earth From Spacementioning

confidence: 99%

Integrating remote sensing data and ground information for solving natural resource and environmental problems

Khyzhniak¹,

Fedorovskyi²

2020

Kosm. nauka tehnol.

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We consider the rationale for the integration of remote sensing data and ground information using a statistical criterion to solve natural resources and environmental problems. The method is proposed to be implemented as the module of the "computer assistant". The algorithm that describes a set of the sequence of operations for automation of the decision-making procedure is presented. This algorithm should free the operator from a significant amount of subjective and labor-intensive work, which is performed using visual methods. Based on the proposed methodology, we perform the object recognition in aerospace images of the territory with different geological and landscape conditions and, respectively, with standard objects of different classes with different sets of values of informative features (of different nature and dimension). For the recognition and classification of images of studied objects, the probabilities of the ratios of informative features of the studied areas to ones of each standard object present in the aerospace image were determined. The results of testing the proposed methodology are presented on the examples of assessing oil and gas prospects in the areas of the Dnieper-Donetsk cavity and the problem of classifying crops of different varieties in different periods of vegetation in the agricultural fields in the Kyiv region.

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Heuristic Criterion for Class Recognition by Spectral Brightness

Cited by 10 publications

References 3 publications

Assessing aquatic enviromnemt quality of the urban water bodies by system analysis methods based on integrating remote sensing data

Assessing aquatic enviromnemt quality of the urban water bodies by system analysis methods based on integrating remote sensing data

Remote assessment of the ecological state of water bodies based on the multidimensional density distribution of biotope areas on the example of the Kyiv reservoir

Integrating remote sensing data and ground information for solving natural resource and environmental problems

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