Title :
Change detection in SAR imagery
Author_Institution :
R. Signals & Radar Establ., Malvern, UK
Abstract :
The author describes two separate SAR (synthetic aperture radar) image change detection schemes: (1) model based image segmentation (2) image object identification using neural networks. The neural network approach performs slightly better than the model based scheme in terms of both time and detection rates
Keywords :
military systems; neural nets; picture processing; radar cross-sections; SAR; image change detection; image object identification; image processing; model based image segmentation; neural networks; synthetic aperture radar;
Conference_Titel :
Role of Image Processing in Defence and Military Electronics, IEE Colloquium on
Conference_Location :
London
