Target indexing in synthetic aperture radar imagery using topographic features
نویسندگان
چکیده
TOPOGRAPHIC FEATURES Reuven Meth and Rama Chellappa Department of Electrical Engineering and Center for Automation Research University of Maryland, College Park, MD ABSTRACT Automatic Target Indexing using Synthetic Aperture Radar (SAR) imagery is investigated. Target areas are located using a Constant False Alarm Rate (CFAR) detector. Classi cation of targets is performed using the Topographical Primal Sketch [2], which assigns each pixel a label that is invariant under monotonic gray tone transformations. The use of a topographic scheme based on the curvature of underlying image intensity allows for the classi cation of targets in high resolution imagery. Target matching is performed using correlation and graph matching schemes that incorporate quantitative values associated with each feature as well as qualitative feature labels. Experimental results for indexing of targets performed at 1 foot and 1 meter resolutions are presented.
منابع مشابه
Automatic classi cation of targets in Synthetic Aperture Radar imagery using topographic features
Automatic classiication of target in synthetic aperture radar (SAR) imagery is performed using topographic features. Targets are segmented from wide area imagery using a constant false alarm rate (CFAR) detector. Individual target areas are classiied using the Topographical Primal Sketch (TPS) 2 which assigns each pixel a label that is invariant under monotonic gray tone transformations. A loca...
متن کاملClutter Reduction for Synthetic Aperture Radar Imagery Based on Adaptive Wavelet Packet Transform
An adaptive wavelet packet transform (AWPT) algorithm is proposed to process synthetic aperture radar (SAR) imagery and remove background clutters from target images. Since target features are more efficiently represented using the wavelet packet bases, higher signal-to-clutter ratios (SCR) can be achieved in the wavelet transform domain. Consequently, clutters can be more effectively separated...
متن کاملSVM-based Target Recognition from Synthetic Aperture Radar Images using Target Region Outline Descriptors
The work in this paper explores the discriminatory power of target outline description features in conjunction with Support Vector Machine (SVM) based classification committees, when attempting to recognize a variety of targets from Synthetic Aperture Radar (SAR) images. In specific, approximate target outlines are first determined from SAR images via a simple mathematical morphology-based segm...
متن کاملAnalysis of topographic decorrelation in SAR interferometry using ratio coherence imagery
Topographic decorrelation due to the local surface slope has been an obstacle to interferometric synthetic aperture radar (InSAR) applications. A modified spatial decorrelation function is derived as a function of the baseline and topography. This function explains the origin of the total topographic decorrelation phenomenon on the slopes directly facing radar illumination and layover, which ma...
متن کاملLow-Backscatter Ocean Features in Synthetic Aperture Radar Imagery
any ocean surface signatures in synthetic aperture radar (SAR) imagery are characterized by relatively low normalized radar cross section values. Distinguishing among these signatures objectively can be very difficult, especially with only the singleband and single-polarization SAR imagery available from the European Remote Sensing satellites and the Canadian Radarsat-1. Nevertheless, distincti...
متن کامل