Geometric correction and classification of images in change detection of water plants in Soinilansalmi

Automation of change detection greatly enhances environmental monitoring. This study describes possibilities for automation of change detection through image processing actions that include geometric correction, classification and segmentation. The water area was photographed twice and the changes in water vegetation were under consideration. The results from image processing monitoring were compared to the on-site measurements. The correspondence between these two was satisfactory. The automation of the change detection would require both on-site actions and controlled photographing together with well defined image processing.