Change detection for map updating using very high resolution satellite images

Abstract EN

The earth surface changes continuously due to natural causes and human activities.

new generations of satellite sensors, such as worldview and Geoeye, provide new data to better delineate, track, and visualize changes in land cover.

several classes are used in the satellite images.

all artifacts with elevations greater than the ground surface (buildings in particular) may appear in the 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 the 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 satellite 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 0.95 m.