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Zastosowanie metody Chrobaka upraszczania linii w rastrowych technikach pozyskiwania danych

Żukowska M., Kozioł K.

Roczniki Geomatyki

2007

T. 5, z. 2

85-93

The evolution of remote sensing techniques observed in last years has a meaningful influence on data acquisition. High resolution of aerial and satellite remote sensing data causes necessity of using appropriate generalization techniques of elaborated objects. Through high spatial resolution modern imaging technology allows to acquire highly detailed objects. Moreover, acquired objects have geometric characteristics closely connected with raster model structure (a grid), what often does not correspond with actual characterstics of registered objects. In the paper, the authors attempt to elaborate rules for using cartographic line and polygon generalization algorithms to simplify objects formed in image classification. A classified image is vectorized with separated classes maintained. As a result we obtain a set of broken lines forming polygon borders. To achieve appropriate graph of determined lines they need to be simplified. To simplify broken lines Chrobak.s objective line simplification algorithm was selected. At this stage, the number of vertices forming particular borders is considerably reduced. Afterwards those lines are processed so as to remove vertices with sinuosity value less than 1.1. It is assumed that such broken line segments can be recognized as .nearly straight.. The last stage is connected with removing some inconsistency or graphic conflicts, which could occur during primitive line simplification or partially in automatic image classification. Border vertices buffering and displacement is used here. Buffer and displacement size is strictly connected with modified drawing legibility.