Terrain detection and classification using single polarization SAR

摘要

The various technologies presented herein relate to identifying manmade and/or natural features in a radar image. Two radar images (e.g., single polarization SAR images) can be captured for a common scene. The first image is captured at a first instance and the second image is captured at a second instance, whereby the duration between the captures are of sufficient time such that temporal decorrelation occurs for natural surfaces in the scene, and only manmade surfaces, e.g., a road, produce correlated pixels. A LCCD image comprising the correlated and decorrelated pixels can be generated from the two radar images. A median image can be generated from a plurality of radar images, whereby any features in the median image can be identified. A superpixel operation can be performed on the LCCD image and the median image, thereby enabling a feature(s) in the LCCD image to be classified.

主权项

1. An image processing system comprising:
a single polarization synthetic aperture radar (SAR) imager, the single polarization SAR imager configured to capture a plurality of single polarization SAR images of a scene, the SAR images each comprising pixels; and a processor programmed with instructions that, when executed by the processor, cause the processor to:
generate a long term coherent change detection (LCCD) image from a first SAR image in the plurality of single polarization SAR images and a second SAR image in the plurality of single polarization SAR images; andanalyze the LCCD image and label a first pixel in the LCCD image as corresponding to a paved roadway.