International Journal of Image Processing | |
Object-Oriented Image Processing Of An High Resolution Satellite Imagery With Perspectives For Urban Growth, Planning And Development | |
Afroz Shaik Mohammed11  Shaik Rusthum21  | |
[1] $$ | |
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
【 预 览 】
Files | Size | Format | View |
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RO201912040511077ZK.pdf | 1994KB | download |