Object-Oriented Image Processing Of An High Resolution Satellite Imagery With Perspectives For Urban Growth, Planning And Development

International Journal of Image Processing

Afroz Shaik Mohammed1¹  Shaik Rusthum2¹ 

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关键词: Object Oriented;    Classification;    Segmentation;    Spatial Information;    Accuracy Assessment;    Urban Morphology.;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

The management of urban areas by urban planners relies on detailed and updated knowledge of their nature and distribution. Manual photo-interpretation of aerial photographs is efficient, but is time consuming. Image segmentation and object-oriented classifications provide a tool to automatically delineate and label urban areas. Here single pixels are not classified but objects created in multi-resolution segmentation process, which allows use of, spectral responses but also texture, context and information from other object layers. This paper presents a methodology allowing to derive meaningful area-wide spatial information for city development and management from high resolution imagery. Finally, the urban land cover classification is used to compute a spatial distribution of built-up densities within the city and to map homogeneous zones or structures of urban morphology

【 授权许可】

Unknown