Processing Technology of Thematic Identification and Classification of Objects in the Multispectral Remote Sensing Imagery

Hnatushenko, Volodymyr; Shedlovska, Y. I.; Shedlovsky, Igor

doi:10.1007/978-3-031-16203-9_24

Cited by 2 publications

(4 citation statements)

References 37 publications

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“…The cluster analysis method was widely used in thermal comfort studies [ 51 , 52 ]. In addition to the area of thermal comfort, cluster analysis is widely used in medicine, information technology [ [53] , [54] , [55] ]. Despite all this research in different areas, studies involving thermal environment are few, and there are no studies applying cluster analysis [ 56 ].…”

Section: Methods and Resultsmentioning

confidence: 99%

Classification of thermal environment control indicators according to the thermal sensitivity of office occupants

Kim,

Ryu,

Hong

2024

Heliyon

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Section: Methods and Resultsmentioning

confidence: 99%

Classification of thermal environment control indicators according to the thermal sensitivity of office occupants

Kim,

Ryu,

Hong

2024

Heliyon

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“…satellites capable of producing highquality images of the Earth's surface. The great amount of acquired data requires methods for their fast processing and extraction of useful in formation about the objects on the images [3]. Photogram metric scenes of the fixed object obtained in the different spec tral ranges have different spatial, spectral and radiometric dif ferences and, as a result, differ significantly in the spatial dis tributions of brightness.…”

Section: Information Technologies Systems Analysis and Administrationmentioning

confidence: 99%

“…Therefore, the problem of creating the geometric models of information representations of such images acquires a spe cial meaning. Models are to be invariant with respect to the factors of formation, taking into account their partial certainty [3]. It is important to develop on this basis the methods of the image preprocessing to increase the information value of the processed ones.…”

Section: Information Technologies Systems Analysis and Administrationmentioning

confidence: 99%

See 1 more Smart Citation

Homomorphic filtering in digital multichannel image processing

Hnatushenko¹,

Spirintseva²,

Spirintsev³

et al. 2023

Nauk. visn. nat. hirn. univ.

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Purpose. The purpose of this article is to develop a preprocessing method for digital multispectral remote sensing images obtained through optical and infrared means in the electromagnetic spectrum. The method aims to ensure invariance with respect to positional formation conditions that determine spatial and radiometric resolution. By implementing homomorphic filtering in this method, we can significantly increase the informative value of processed imagery. Methodology. The problem solving, including the development of the spatial and radiometric resolution increase ways for multispectral geospatial data are based on the methods of brightness spatial distribution fusion, methods of data dimension reduction, de-correlation techniques and geometric correction of image spatial distributions. Findings. The method of preprocessing digital remote sensing data has been developed, which is a component of the methodology for identifying geometric shapes (GS) of objects in multi-channel aerospace images, allowing for a significant improvement in their recognition efficiency when noise is present. Originality. The method of preprocessing photogrammetric scenes using homomorphic filtering to enhance their informational significance is proposed. The method ensures invariance to positional conditions of fixation, improves the accuracy of further recognition, eliminates the drawbacks of known methods associated with the existence of parametric uncertainty dependence, the features of fixation of species information, low values of information indices of synthesized images, and computational process peculiarities. Practical value. Practical value is consists in improving of identification accuracy of objects GS in digital geospatial data, in significant increasing of raster multispectral images information value and in rising of automated image processing efficiency. The use of the method can greatly enhance the value and usefulness of multispectral photogrammetric images in a wide range of applications, from environmental monitoring to urban planning.

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Processing Technology of Thematic Identification and Classification of Objects in the Multispectral Remote Sensing Imagery

Cited by 2 publications

References 37 publications

Classification of thermal environment control indicators according to the thermal sensitivity of office occupants

Classification of thermal environment control indicators according to the thermal sensitivity of office occupants

Homomorphic filtering in digital multichannel image processing

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