Automatic Detection of Flooded Areas on ENVISAT/ASAR Images using an Object-Oriented Classification Technique and an Active Contour Algorithm.

Two techniques for extracting flooded areas out of RADAR-imagery in a time-efficient way are presented in this paper. The results of the object-oriented classification technique, based on the commercial eCognition software, and the active contour technique, are both obtained on 2 ENVISAT ASAR images; one recorded during a flood period in Flanders on January the 2nd of 2003 and one during a non-flooded region on June the 26thof the same year. In both techniques the net flooded result is based on the subtraction of the existing water bodies (i.e.

Document Type: 
Scientific Paper

Automatic Detection of Flooded Areas on ENVISAT/ASAR Images Using an Object-Oriented Classification Technique and an Active Contour Algorithm

Two techniques for extracting flooded areas out of RADAR-imagery in a time-efficient way are presented in this paper. The results of the object-oriented classification technique, based on the commercial eCognition software, and the active contour technique, are both obtained on 2 ENVISAT ASAR images; one recorded during a flood period in Flanders on January the 2nd of 2003 and one during a non-flooded region on June the 26thof the same year. In both techniques the net flooded result is based on the subtraction of the existing water bodies (i.e.

Document Type: 
Scientific Paper