Change detection for map updating using ‎very high resolution satellite images

Abstract

ABSTRACTThe earth surface changes continuously due to the natural causes and ‎human activities. New generations of satellite sensors, such as WorldView and ‎GeoEye, provide new data to better delineate, track and visualise changes in land ‎cover. A number of classes are used in the satellite images. All artefacts with ‎elevations greater than the ground surface (buildings in particular) may appear in ‎a wrong location. The correction of buildings position is an important task for ‎mapping applications. The main aim of this study is to introduce a change ‎detection approach using very high resolution satellite images (VHR) for map ‎updating. In this approach, an approximated method for building relief ‎displacement correction was developed.‎In this paper, image preprocessing was carried out and information content ‎of the satellite image was evaluated. Then change detection between GeoEye-1 ‎image and Sohag map was carried out using post-classification comparison ‎technique. After that the change map result was divided into two classes: building ‎and non-building. All objects were transformed from raster to vector format. For ‎building objects, the height was estimated. A python code was written to calculate ‎relief displacement using buildings height and shadow length. The vector layer ‎was added to update the reference map. The results showed the ability of very ‎high-resolution satellites images for updating large scale maps in Egypt. Also, the ‎approximated method for building relief displacement correction is a promising ‎method. It has RMSE accuracy of 0.95m.‎