Semi-Automated Detection and Extraction of Unexploded Ordnances using the Object Based Image Analysis Approach

This paper describes application of methodology for semi-automatic interpretation of digital multisensor images for the purpose of detection and extraction of unexploded ordnances developed within the EU FP7 TIRAMISU project on the site of exploded ammunition depot in Padjene, Croatia. Process relies on combining the advantages of the both radiometric and object based image analysis using the statistical tools where lessons and rules learned on the test image are then applied on other images of the same scene but different location. In this case methodology has been applied on aerial images acquired by consumer DSLR camera mounted on helicopter flying at average height of 300 meters above ground level. Prior to this application perspective preliminary result was achieved for aluminum objects. During the further application, image processing for improved detection and extraction of corroded objects was defined and evaluated. Achieved results of methodology application on different scenes at same location (exploded ammunition depot). At the end, perspective of further research and analysis of this methodology is stated.