Improvement of ship-sea clutter ratio of SAR imagery using standard deviation filter

The needs for SAR remote sensing has been rapidly increased to efficiently promote ocean security. In this context, solid ship detection algorithm plays a vital role to execute expected performance. Most of conventional algorithms utilize a Constant False Alarm Rate (CFAR) technique, and have achieved great success. However, there has been no solid procedure to select an appropriate CFAR threshold for various area. In this paper, based on physical scattering theory we proposed a brand-new Standard Deviation (STD) filter by which a dependency to CFAR threshold can be significantly decreased. Validation of the technique was also conducted using Pi-SAR image provided by Japan Aerospace Exploration Agency (JAXA).