MODELS AND METHODS PROCESSING OF DIGITAL TEXTURAL IMAGES IN AEROSPACE MONITORING SYSTEMS
Journal Title: Наукові праці. Серія "Комп’ютерні технології" - Year 2016, Vol 287, Issue 275
Abstract
Remote sensing of the land surface provides unique opportunities of operational data collection with high spatial, spectral and temporal resolution, which defines the great information opportunities of such systems. Automated image processing of the land surface allows to solve effectively scientific and applied problems in the field of cartography, research of the natural environment, oceanology, mineral explora-tion and development, agriculture and forestry and many other areas. For example, the thematic classifi-cation of a soil and vegetable cover by aerospace shooting data is a necessary stage of most tasks for landscape and ecological mapping. Models and methods of the description of digital textural images are considered in article. The cur-rent state of automated image processing in air monitoring systems is reviewed. The concept of a model of a textural image is defined. There are two main methods – structural and statistical which used for the mathematical description of textures. The first approach describes basic areas of textures and spatial re-lationships between them that well is suitable for describing artificial and regular textures. In the second approach, the quantitative and statistical distribution of pixel intensity values in the image area is used as the texture description. Three main ways of image segmentation are considered in the article: threshold segmentation, segmentation by scaling up areas and segmentation by distinguish boundaries. Threshold segmentation consists in combining the image areas close in characteristics into a small number of seg-ments. If brightness exceeds threshold, then area belongs to one segment, if it is below than threshold - to another. The review of existing methods of segmentation of textural image areas allowed to formulate re-quirements for image processing algorithms for the operative processing of visual data in aerospace monitoring systems.
Authors and Affiliations
T. Kovalenko
Keywords
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