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The method of extracting the contours of objects from satellite images, 2nd Scientific-Practical Workshop Information Technologies: Algorithms, Models, Systems, ITAMS 2019

Авторы: Avramenko Yu., Fedorov R.

Журнал: CEUR Workshop Proceedings

Том: 2463


Год: 2019

Отчётный год: 2019


Местоположение издательства:


Аннотация: Earth remote sensing data is used to solve many practical problems, for example, for digitizing satellite images. This problem can be divided into three stages, in this case let it be the classification of objects, the extraction of contours and creation of a vector layer. Neural networks, the support vector method, the K-means method and others can be used to classify objects. Good results on the extraction of edges are given by the Canny edge detector, Harris operator, Hough transform, and other methods. Creation of a vector layer is not trivial problem. In this article, we propose a method for extracting the contours of objects from satellite images. The idea of the proposed method is to combine a neural network and an interpreter of the SOQL language. The neural network allows finding quickly possible positions of the object on textural and spectral features and the SOQL interpreter extract contours of the object by structural description and create vector layer.

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Индексируется Scopus: 1

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