AUTOMATIQUE TECHNIQUE FOR OBTAINING URBAN/SUBURBAN CHANGE DETECTION INFORMATION FROM HIGH-RESOLUTION SATELLITE IMAGES

Multitemporal satellite images can serve for monitoring the same geographical area on the earth and recognize potential changes that have occurred. Actually, high-resolution (HR) satellite images can provide detailed pieces of information about change detection. In the current work automatic change detection is carried out in urban and suburban areas of Crete, Greece. QuickBird images of spatial resolution 60 cm/pixel and WorldView images of resolution 30 cm/pixel, that have a relative time difference of 13 years, are utilized. The scene is classified into buildings, vegetation, water and ground as soon as multiindex representation has been applied on the images. Afterwards, automatic change detection is feasible by pixel-per-pixel comparison of the classified multi-temporal images. The water index and the vegetation index which are utilized in the current work are compared with vegetation and water detections which appear in the literature. The experimental results indicate the superiority of the particular spectral indices. Moreover, the presented methodology not only specifies if changes have arisen or not but also provides particular information regarding the types of changes. In the future, further experimentations could lead to the optimization of the proposed methodology.