1 research outputs found
Change Detection Using Synthetic Aperture Radar Videos
Many researches have been carried out for change detection using temporal SAR
images. In this paper an algorithm for change detection using SAR videos has
been proposed. There are various challenges related to SAR videos such as high
level of speckle noise, rotation of SAR image frames of the video around a
particular axis due to the circular movement of airborne vehicle, non-uniform
back scattering of SAR pulses. Hence conventional change detection algorithms
used for optical videos and SAR temporal images cannot be directly utilized for
SAR videos. We propose an algorithm which is a combination of optical flow
calculation using Lucas Kanade (LK) method and blob detection. The developed
method follows a four steps approach: image filtering and enhancement, applying
LK method, blob analysis and combining LK method with blob analysis. The
performance of the developed approach was tested on SAR videos available on
Sandia National Laboratories website and SAR videos generated by a SAR
simulator