Algorithms for Synthetic Aperture Radar Imagery XXIV

14 Sessions, 14 papers, 11 videos
Proceedings Volume 10201 is from: Logo
9-13 April 2017
Anaheim, California, United States
Front Matter: Volume 10201
Proc. SPIE 10201, Front Matter: Volume 10201, 1020101(18 May 2017);doi: 10.1117/12.2270670
Phenomenology and Imaging
Proc. SPIE 10201, Analysis of speckle and material properties in laider tracer, 1020102(28 April 2017);doi: 10.1117/12.2261157
Proc. SPIE 10201, Deep learning for SAR image formation, 1020104(28 April 2017);doi: 10.1117/12.2267831
Proc. SPIE 10201, Closed-form mismatched filter synthesis for complementary range response, 1020105(28 April 2017);doi: 10.1117/12.2262592
Proc. SPIE 10201, Extraction of advanced geospatial intelligence (AGI) from commercial synthetic aperture radar imagery, 1020106(28 April 2017);doi: 10.1117/12.2262359
Proc. SPIE 10201, Exploiting the sparsity of edge information in synthetic aperture radar imagery for speckle reduction, 102010C(28 April 2017);doi: 10.1117/12.2267790
Proc. SPIE 10201, Adapting range migration techniques for imaging with metasurface antennas: analysis and limitations, 102010D(28 April 2017);doi: 10.1117/12.2262906
Proc. SPIE 10201, Implications of SAR ambiguities in estimating the motion of slow targets, 102010E(28 April 2017);doi: 10.1117/12.2263096
Proc. SPIE 10201, An acceleration framework for synthetic aperture radar algorithms, 102010F(28 April 2017);doi: 10.1117/12.2261397
Feature Extraction and Classification
Proc. SPIE 10201, A novel latent gaussian copula framework for modeling spatial correlation in quantized SAR imagery with applications to ATR, 102010G(28 April 2017);doi: 10.1117/12.2267833
Proc. SPIE 10201, The efficency of algorithms to match unique scatterer locations in joint 3D azimuth and elevation synthetic aperture radar scenarios, 102010H(28 April 2017);doi: 10.1117/12.2262867
Proc. SPIE 10201, Using phase for radar scatterer classification, 102010J(3 May 2017);doi: 10.1117/12.2267832
Proc. SPIE 10201, Limited persistence models for SAR automatic target recognition, 102010M(28 April 2017);doi: 10.1117/12.2264744
Proc. SPIE 10201, Divergences and estimating tight bounds on Bayes error with applications to multivariate Gaussian copula and latent Gaussian copula, 102010N(28 April 2017);doi: 10.1117/12.2267834
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