We have developed linear subspace detectors that detect targets in a background of both noise and tree responses. We consider the background clutter as stochastic noise, and we model the tree responses as a deterministic signal with unknown amplitude and unknown parameters. We develop a family of target detectors based on different assumptions on what is known about the taget and the tree famil...

Change detection, the comparison of remote sensing images from different moments in time, is an important technique in environmental earth observation and security. SAR change detection is useful when weather and light conditions are unfavourable. Five methods of SAR change detection are presented and evaluated. The performance of the first one, post-classification change detection, is strongly...

Imaging technology enhances radar environment awareness. can provide richer target information for traffic management systems than conventional detection radar. However, there is still a lack of research on millimeter-wave imaging urban surveillance. To solve the above problem, we propose an improved three-dimensional FFT algorithm architecture roadside in scenarios, enabling concurrence dynami...

This paper describes a self organising spatio-temporal radar CFAR system that uses multiple intelligent software agents to detect and adapt the processing to features in the environment. By combining both temporal and spatial data gathering sufficient samples can be collected to allow both the first and second order moments of the clutter distribution to be approximated for each cell. By gather...

We give an overview of some R&D projects in SAR imagery at Lockheed Martin Canada. These projects are motivated by airborne surveillance applications such as the landmass and coastal surveillance missions of the Canadian CP-140 (Aurora) aircraft. The activities reviewed here are 1) R&D supports to CP-140 Spotlight SAR upgrade, 2) fast multiresolution prescreening filter for CFAR detection, 3) c...