Evaluation of the actual resolution of digital aerial and satellite imagery using an edge profile curve

Anikeeva, I.A.; Kadnichanskiy, S.A.

doi:10.22389/0016-7126-2017-924-6-25-36

Cited by 6 publications

(3 citation statements)

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“…Visually, the blurriness of an image can be estimated by sharp edges of objects by visible pixelation at high magnification. The edge transition is a site of an image (a part of a row/column), containing the sharp change in pixels tone (values) from light to dark on a relatively small pixel interval (about several pixels) (Anikeeva, Kadnichanskiy, 2017). For images of visually high sharpness (clarity), the length of an edge transition does not exceed 5 pixels.…”

Section: Image's Blurring (Including Motion Blurring)mentioning

confidence: 99%

“…For these purposes methods based on modulation transfer function (MTF) analysis are used (Lim et al, 2018;Takahashi et al, 2020). One of these methods described in (Anikeeva, Kadnichanskiy, 2017). The algorithm consists in automatic search the edge transitions with maximum gradient in the image and their MTF analysis.…”

Section: Image's Blurring (Including Motion Blurring)mentioning

confidence: 99%

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Requirements for Aerial Images Quality, Obtained for Mapping Purposes

Anikeeva¹,

Чибуничев

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The quality of cartographic products, obtained on base of aerial images, depends on their quality. The image‘s quality can be defined in terms of measurement characteristics and in it’s visual properties. The object of the paper is an aerial image’s quality, concerning its visual perception. The process of topographic aerial images quality assessing is currently not regulated, therefore, this problem becomes particularly relevant today. The article is devoted to development the quality criteria system for aerial images, obtained for mapping purposes, and definition the requirements for them. The analysis of factors affecting the quality of aerial images is carried out, they include natural conditions, technical and technological parameters of aerial surveying and images post-processing. The main imperfections of image quality, appearing as a result of these factors influence are determined – blurring, high level of random image noise, haze, color imbalance, loss of information in shadows and illumination. Methods of identifying these imperfections and assessing their influence on aerial images quality are shown.

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Section: Image's Blurring (Including Motion Blurring)mentioning

confidence: 99%

Section: Image's Blurring (Including Motion Blurring)mentioning

confidence: 99%

Requirements for Aerial Images Quality, Obtained for Mapping Purposes

Anikeeva¹,

Чибуничев

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…After the fieldwork, all the materials were checked for correctness and sent for office processing. The main purpose of office processing of aeromagnetic survey data is to obtain a digital AMF model on the survey area and estimate the error of the obtained geomagnetic field measurement results [19][20][21][22].…”

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confidence: 99%

Identification of structural control factors of primary gold ore occurrences by method of unmanned aeromagnetic survey by the example of the Neryungrisky district of Yakutia

Movchan

Shaygallyamova

Yakovleva

2022

PMI

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The long-term development of the geophysical industry, in which the methods of magnetometry are in maximum demand, as the simplest in instrumental and methodological execution, has determined the development of remote measurement methods implemented both from space and airborne carriers. The necessity to use the latter as an obligatory component of field surveys, providing coverage of significant areas, determines the need for using the unmanned low-tonnage carriers. Their use is implemented to search for predictive elements of structural (spatial, genetic) control of endogenous gold ore occurrences that allow predictive constructions, i.e., solving the problem of increasing gold reserves, which is being performed within the framework of federal programs. The purpose of the survey is to develop a system of instrumental and subsequent interpretation approaches in the organization of unmanned magnetometer survey, implemented for structural and geological mapping by the example of the Neryungrinsky district of Yakutia. Within the framework of the digital model formation of the relief and the anomalous magnetic field, a survey method using an unmanned aircraft, its technical characteristics are considered; the analysis and the author's modification of the office analysis of magnetometry data are performed. Based on the obtained materials, a physical and geological model of the investigated area was created, which is presented in the form of a geological and structural cut, accompanied by the physical characteristics of the structural and material complexes. The refinement of the physical and geological model was implemented by a joint morphostructural analysis of the remote base and the anomalous magnetic field using the results of quantative interpretation of the anomalous magnetic field. The result of the study is presented by an updated geological basis with the allocation of promising ore sites for their detailing as part of the planned large-scale geological and geophysical surveys. The scientific novelty of the work consists in the synthesis of the tried and tested methods of unmanned aeromagnetometric measurements and geostructural reconstructions, which allow the processing of both potential and non-potential geofields.

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Сontrast evaluation of digital aerial and satellite images

Kadnichanskiy¹

2018

G&C

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The article shows the relevance of numerical evaluation of digital aerial and satellite images’ contrast as one of their main characteristics, which is important for photointerpretation. The formulae for expressing the numerical values of the contrast from a variety of sources are presented and analyzed. An example of images and their contrast with different formulae clearly show the inadequacy of the estimates of the contrast for some of the formulae and it allows you to select the most appropriate mathematical expression of the contrast. Enhancements to expressions numerical parameters for an evaluation of the contrast of the digital image were proposed. One of the proposed formulae is appropriate for general evaluation and another one for the assessment of local contrast, which can also be used to assess the effectiveness of the use of the entire scale of possible brightness values of the pixels, i.e. the bit of the digital image. Examples of evaluation of using these formulae were given.

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Evaluation of the actual resolution of digital aerial and satellite imagery using an edge profile curve

Cited by 6 publications

References 0 publications

Requirements for Aerial Images Quality, Obtained for Mapping Purposes

Requirements for Aerial Images Quality, Obtained for Mapping Purposes

Identification of structural control factors of primary gold ore occurrences by method of unmanned aeromagnetic survey by the example of the Neryungrisky district of Yakutia

Сontrast evaluation of digital aerial and satellite images

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