Terrain detection and classification using single polarization SAR
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.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- Assignee:
- Sandia Corporation
- Patent Number(s):
- 9,239,384
- Application Number:
- 14/519,278
- OSTI ID:
- 1236006
- Resource Relation:
- Patent File Date: 2016 Jan 19
- Country of Publication:
- United States
- Language:
- English
SAR image effects on coherence and coherence estimation
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report | January 2014 |
Robust Techniques for Coherent Change Detection Using Cosmo-Skymed sar Images
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journal | January 2012 |
Terrain detection and classification using single polarization SAR
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patent | January 2016 |
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