Dr. Les Novak
Consulting Scientist at Scientific Systems Co Inc
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (26)

Proceedings Article | 3 June 2013
Proc. SPIE. 8746, Algorithms for Synthetic Aperture Radar Imagery XX
KEYWORDS: Target detection, Image compression, Coherence (optics), Detection and tracking algorithms, Visualization, Synthetic aperture radar, Reflectivity, Charge-coupled devices, Algorithm development, CCD image sensors

Proceedings Article | 23 May 2013
Proc. SPIE. 8746, Algorithms for Synthetic Aperture Radar Imagery XX
KEYWORDS: Target detection, Data modeling, Synthetic aperture radar, Image processing, Reflectivity, Surveillance, Data processing, Image filtering, Charge-coupled devices, Reconstruction algorithms

Proceedings Article | 3 May 2012
Proc. SPIE. 8394, Algorithms for Synthetic Aperture Radar Imagery XIX
KEYWORDS: Radar, Point spread functions, Data modeling, Synthetic aperture radar, Reflectivity, Surveillance, Image filtering, Charge-coupled devices, Reconstruction algorithms, CCD image sensors

Proceedings Article | 19 April 2010
Proc. SPIE. 7699, Algorithms for Synthetic Aperture Radar Imagery XVII
KEYWORDS: Data compression, Image compression, Polarization, Sensors, Synthetic aperture radar, Buildings, X band, Charge-coupled devices, Data centers, Algorithm development

Proceedings Article | 19 April 2010
Proc. SPIE. 7699, Algorithms for Synthetic Aperture Radar Imagery XVII
KEYWORDS: Target detection, Radar, Roads, Image compression, Detection and tracking algorithms, Synthetic aperture radar, Buildings, Surveillance, Imaging arrays, Signal detection

Proceedings Article | 29 April 2009
Proc. SPIE. 7337, Algorithms for Synthetic Aperture Radar Imagery XVI
KEYWORDS: Image compression, Coherence (optics), Detection and tracking algorithms, Synthetic aperture radar, Image processing, Wavelets, Chromium, Quantization, Charge-coupled devices, CCD image sensors

Showing 5 of 26 publications
Conference Committee Involvement (41)
Algorithms for Synthetic Aperture Radar Imagery XXVI
18 April 2019 | Baltimore, Maryland, United States
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
15 April 2019 | Baltimore, Maryland, United States
Algorithms for Synthetic Aperture Radar Imagery XXV
19 April 2018 | Orlando, Florida, United States
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII
16 April 2018 | Orlando, Florida, United States
Algorithms for Synthetic Aperture Radar Imagery XXIV
13 April 2017 | Anaheim, California, United States
Showing 5 of 41 published special sections
Course Instructor
SC315: Automatic Target Recognition Using Synthetic Aperture Radar
This two part tutorial on Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) imagery focuses on two areas of research: (1) SAR ATR using fully polarimetric data and (2) SAR ATR using super-resolution image processing. In part 1, a polarimetric Ka-Band SAR sensor is described and techniques, including the polarimetric whitening filter (PWF) and matched filter (PMF), for optimum processing of the data are developed. A complete target recognition system is developed, and performance results versus resolution and polarization are summarized. In part 2, super-resolution-processing algorithms applied to SAR data are described. For each algorithm, the improvement in ATR performance is quantified. Recognition performance results are presented for a 20-target classifier, and lessons learned from extensive SAR ATR evaluations conducted at MIT Lincoln Laboratory are summarized. Additional ATR topics presented include: target recognition performance comparisons using 1-D high range resolution (HRR) profile classifiers versus 2-D SAR classifiers; model-based classifier performance; combined polarimetric/super-resolution processing; low frequency foliage penetration (FOPEN) SAR target detection and discrimination.
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