GIS based ground moving target indication in time series of SAR amplitude images
The detection of changes based on remote sensing data is a highly frequented field of research with several of important applications. In , a concept for change analysis in urban areas was proposed. The main part of this concept is the categorization of detected changes. Aiming on the changes itself, it can be distinguished between objects, which are static at the time of image acquisition and objects, which are in motion. In SAR image analysis, the detection of moving objects is commonly known as Ground Moving Target Indication (GMTI). For two-channel SAR systems like TerraSAR-X (TSX), a traditional method is Along-Track Interferometry (ATI). In our method , changes caused by static objects have been investigated using repeat-pass SAR imagery with a time gap of at least 11 days. This dataset excludes the application of ATI. Furthermore, ATI is only capable of detecting moving objects with motion in acrosstrack direction . In this paper, a GIS based detection scheme is proposed, which considers objects moving in along-track as well as in across-track direction at the time of image acquisition.