Simultaneous Registration, Segmentation and Change Detection from Multisensor, Multitemporal Satellite Image Pairs

Vakalopoulou M., Platias C., Papadomanolaki M., Paragios N*., Karantzalos K.

NTUA, Greece

 * ECP, France
Corresponding authors: mariavak@central.ntua.gr & karank@central.ntua.gr

A novel generic graph-based framework was developed addressing simultaneous registration, segmentation and change detection in multisensor data of different spectral, spatial and temporal resolutions. The quite promising experimental results indicated: (i) for the registration task a mean displacement error of less than 2 pixels, (ii) for the segmentation task in most cases completeness and correctness rates above 77% and (iii) for the change detection around or above 70%. The main errors derived from the important relief displacements around the tallest buildings and from the quite similar reflectance spectra of the different man-made objects including ship/vessels.

 

Segmentation Results

after the application of the developed framework between:

 

Deimos-2 March & Deimos-2 May

 

Iris Video July & Deimos-2 May
 

 

 

 

Ship - Vessels
Deimos March & Deimos May pair   Iris July (first video frame) & Deimos May pair
 

 

 

 

Vegetation
Deimos March & Deimos May pair   Iris July (first video frame) & Deimos May pair
 

 

 

 

Buildings
Deimos March & Deimos May pair   Iris July (first video frame) & Deimos May pair