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Contextual classification

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Full-Text Articles in Physical Sciences and Mathematics

Comparison Of Different Aproaches To Extract Heterogeneous Objects From An Image Using An Orchards Example, Przemysław Kupidura, Gwadera Łukasz Jan 2010

Comparison Of Different Aproaches To Extract Heterogeneous Objects From An Image Using An Orchards Example, Przemysław Kupidura, Gwadera Łukasz

Przemysław Kupidura

Traditional, pixel-based classification is very often an useless tool for an automatic extraction of heterogeneous types of land cover. This paper presents the application of mathematical morphology for a semi-automatic extraction of heterogenous objects using an example of orchards. Thanks to this algorithm it is possible to obtain orchards pixels of unique set of digital numbers, allowing succesful application of a traditional pixel-based classification for extraction of this class.The algorithm concerning a sequence of morphological operations of multispectral satellite images of very high resolution (VHR) is then veryfied on test images. The paper concerns also a comparison of an efficiency …


Semi-Automatic Method For A Built-Up Area Intensity Survey Using Morphological Granulometry, Przemysław Kupidura Jan 2010

Semi-Automatic Method For A Built-Up Area Intensity Survey Using Morphological Granulometry, Przemysław Kupidura

Przemysław Kupidura

Built-up areas as a land-use type are easy to extract in a visual photo-interpretation process, however their heterogeneous character makes theirs automatic or semi-automatic extraction very complicated, even impossible using non-contextual, pixel-based methods of image classification. This paper concerns the application of the semi-automatic method of the extraction of built-up areas in satellite images. Granulometric maps, a mathematical morphology operator is used as a main tool for surveying a heterogeneity of particular parts of an aerial or satellite image. This function measures amount and size of objects in the determined neighborhood of each pixel of an image. Pixels representing built-up …


The Concept Of The Islands Extraction In Satellite Images Using Mathematical Morphology, Przemysław Kupidura Jan 2009

The Concept Of The Islands Extraction In Satellite Images Using Mathematical Morphology, Przemysław Kupidura

Przemysław Kupidura

The neighborhood is one of the indirect features of the object which may be used in the interpretation of the image. Sometimes, this feature may be essential, what can be shown using an example of islands. According to Oxford Dictionary (Internet edition) island is "a piece of land surrounded by water" so, as we can see, this element of landscape is defined by its neighborhood. The traditional, pixel-based classification is useless in such a case, taking into account only digital numbers of individual pixels. It is impossible to classify islands properly, using this kind of non-contextual algorithms. This paper presents …


Wybrane Przykłady Wykorzystania Morfologii Matematycznej W Przetwarzaniu Obrazów W Teledetekcji, Przemysław Kupidura, Jacek Marciniak, Piotr Koza Jan 2008

Wybrane Przykłady Wykorzystania Morfologii Matematycznej W Przetwarzaniu Obrazów W Teledetekcji, Przemysław Kupidura, Jacek Marciniak, Piotr Koza

Przemysław Kupidura

The paper presents the results of the scientific project concerning the application of mathematical morphology in remote sensing. Mathematical morphology has been created in the sixties of the last century by two french scientists: Jean Serra and George Matheron. Since then, the great progress of this discipline leaded to creation of many different operators. Their most important advantage is taking into account such important features of objects in the image as size, shape, texture or neighbourhood. Thanks to that, selected morphological operators are used in digital image processing in many fields, also in remote sensing. However, the analyse shows even …