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A methodology for land use change detection of high resolution pan images based on texture analysis

Erener, Arzu
Düzgün, Hafize Şebnem
Since the black and white (B&W) aerial photographs came into existence much before the multispectral satellite imagery, they provide past information necessary for land use/cover studies. However, owing to the fact that they lack multispectral information, they cannot be used for automatic land use/cover classification This shortcoming of air photos can be overcome by adding other information such as the spatial variation in pixel intensities also called texture features on the photos. The basic aim of this study is to add the texture feature and classify the historical B&W aerial photograph records thus rendering them usable for change detection studies.