Change Detection for Traffic Monitoring in Terrasar-X Imagery

In this paper the changes occurring in two images acquired at two different time moments are analyzed. In particular the interest is in the changes of filling grade of car-parks or even detecting stopped vehicles on the congested or jammed roads. As input to the change detection processor can serve two repeat-pass single channel images acquired by any airborne or space borne SAR satellite sensor. Each channel is focused, calibrated and processed to a single look slant range complex SAR image. The proposed change detection approach is based on the combination of various techniques: co-registration of two SAR images by interferometric SAR processor, removal of the flat Earth phase, channel balancing, calculating of a coherent or incoherent difference of two images and finally image post-processing and analysis. First experiments on TerraSAR-X imagery show promising results.