Detecting Small Features in SAR Images by an ANN
Synthetic aperture radar (SAR) images are intrinsically noisy, and processing them attracts a high computational overhead. This paper relates to developments, involving the use of an ANN to reduce the overhead, in respect of earlier work by the authors on the identification of small objects. It describes how the ANN is utilised, and how it was trained using an artificially created training set.
KeywordsFalse Alarm Synthetic Aperture Radar Synthetic Aperture Radar Image Artificial Data Contextual Knowledge
Unable to display preview. Download preview PDF.
- I. Finch, D. Yates, and M. Delves. Detecting lines of pylons in sar images. In Proceedings Third International Conference on Satellite Remote Sensing, volume 2958, pages 152–163, Washington, 1996. SPIE.Google Scholar
- K. Morrison and J. C. Bennett. Development of a ground-based synthetic aperture radar remote sensing facility. In Polarimetric SAR Workshop. SCEOS, Sheffield, 1994.Google Scholar