PROCEEDINGS VOLUME 10647
SPIE DEFENSE + SECURITY | 15-19 APRIL 2018
Algorithms for Synthetic Aperture Radar Imagery XXV
IN THIS VOLUME

2 Sessions, 18 Papers, 18 Presentations
Proceedings Volume 10647 is from: Logo
SPIE DEFENSE + SECURITY
15-19 April 2018
Orlando, Florida, United States
Synthetic Data and Deep Learning
Proc. SPIE 10647, "AFacet": a geometry based format and visualizer to support SAR and multisensor signature generation, 1064702 (27 April 2018); https://doi.org/10.1117/12.2304460
Proc. SPIE 10647, High-performance computing strategies for SAR image experiments, 1064703 (27 April 2018); https://doi.org/10.1117/12.2299989
Proc. SPIE 10647, Synthetic RF data for advanced machine learning algorithms development (Conference Presentation), 1064705 (); https://doi.org/10.1117/12.2305460
Proc. SPIE 10647, A review on image quality and computational costs for various SAR imaging algorithms for machine learning applications (Conference Presentation), 1064707 (); https://doi.org/10.1117/12.2305461
Proc. SPIE 10647, Mobile high-performance computing (HPC) for synthetic aperture radar signal processing, 1064708 (27 April 2018); https://doi.org/10.1117/12.2305009
Proc. SPIE 10647, Generative adversarial networks for SAR image realism, 1064709 (27 April 2018); https://doi.org/10.1117/12.2301387
Proc. SPIE 10647, Blending synthetic and measured data using transfer learning for synthetic aperture radar (SAR) target classification, 106470A (27 April 2018); https://doi.org/10.1117/12.2304568
Proc. SPIE 10647, Deep learning model-based algorithm for SAR ATR, 106470B (9 May 2018); https://doi.org/10.1117/12.2315265
Proc. SPIE 10647, Development of CNNs for feature extraction, 106470C (27 April 2018); https://doi.org/10.1117/12.2305394
Proc. SPIE 10647, Using deep learning for SAR image optimization, 106470D (27 April 2018); https://doi.org/10.1117/12.2305860
Proc. SPIE 10647, Deep learning for waveform estimation in passive synthetic aperture radar imaging, 106470E (27 April 2018); https://doi.org/10.1117/12.2305882
Advanced Image Formation, 3D Reconstruction, and Moving Target Exploitation
Proc. SPIE 10647, SAR processing UWB VHF data without a motion measurement system, 106470F (27 April 2018); https://doi.org/10.1117/12.2304615
Proc. SPIE 10647, Sparsity-driven coupled imaging and autofocusing for interferometric SAR, 106470G (27 April 2018); https://doi.org/10.1117/12.2305068
Proc. SPIE 10647, Leveraging 3D models for SAR-based navigation in GPS-denied environments, 106470H (27 April 2018); https://doi.org/10.1117/12.2304420
Proc. SPIE 10647, Three-dimensional total least square Prony method for 3D synthetic aperture scatterer localization, 106470I (27 April 2018); https://doi.org/10.1117/12.2304057
Proc. SPIE 10647, Sparse 4D TomoSAR imaging in the presence of non-linear deformation, 106470J (27 April 2018); https://doi.org/10.1117/12.2303530
Proc. SPIE 10647, A subaperture based approach for SAR moving target imaging by low-rank and sparse decomposition, 106470K (27 April 2018); https://doi.org/10.1117/12.2304982
Proc. SPIE 10647, Insights into the complicated SAR signature shapes induced by braking targets, 106470L (27 April 2018); https://doi.org/10.1117/12.2305100
Proc. SPIE 10647, Multi-function radio frequency ISR in contested environments (Conference Presentation), 106470M (); https://doi.org/10.1117/12.2305043
Proc. SPIE 10647, SAR geolocation of moving targets using knowledge of network of roads (Conference Presentation), 106470N (); https://doi.org/10.1117/12.2304480
Proc. SPIE 10647, Synthetic aperture radar quantized grayscale reference automatic target recognition algorithm, 106470P (27 April 2018); https://doi.org/10.1117/12.2318551
Proc. SPIE 10647, Variance based joint sparsity reconstruction of synthetic aperture radar data for speckle reduction, 106470R (27 April 2018); https://doi.org/10.1117/12.2500209
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