Intelligent Images Analysis in GIS

摘要: The paper proposes an analysis of conventional pattern recognition methods and their use for images’ in GIS applications. like cluster analysis, neural networks, immunocomputing are studied detail. Classic raster segmentation, including lines detection, levels’ difference, connecting contours, threshold processing, other considered as applied to snapshots’ analysis. Special attention is paid immunicomputing method implementation. above efficiency well its application’s domain demonstrated with specific examples. Methods isomorphism metaclasses developed automatically recognize complex objects. methods’ advantages disadvantages manifested based on a real snapshot.