Linear landmark extraction in SAR images with application to augmented integrity aero-navigation: an overview to a novel processing chain

Details Linear landmark extraction in SAR images with application to augmented integrity aero-navigation: an overview to a novel processing chain Linear landmark extraction in SAR images with application to augmented integrity aero-navigation: an overview to a novel processing chain

Jun 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011spie.8008e..59f&link_type=abstract

Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011. Edited by Romaniuk, Ry

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In the context of augmented integrity Inertial Navigation System (INS), recent technological developments have been focusing on landmark extraction from high-resolution synthetic aperture radar (SAR) images in order to retrieve aircraft position and attitude. The article puts forward a processing chain that can automatically detect linear landmarks on high-resolution synthetic aperture radar (SAR) images and can be successfully exploited also in the context of augmented integrity INS. The processing chain uses constant false alarm rate (CFAR) edge detectors as the first step of the whole processing procedure. Our studies confirm that the ratio of averages (RoA) edge detector detects object boundaries more effectively than Student T-test and Wilcoxon-Mann-Whitney (WMW) test. Nevertheless, all these statistical edge detectors are sensitive to violation of the assumptions which underlie their theory. In addition to presenting a solution to the previous problem, we put forward a new post-processing algorithm useful to remove the main false alarms, to select the most probable edge position, to reconstruct broken edges and finally to vectorize them. SAR images from the "MSTAR clutter" dataset were used to prove the effectiveness of the proposed algorithms.

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