Synthetic Aperture Radar
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This 3-day course provides an overview of synthetic aperture radar, a RF imaging technique. The course will examine why there are limiting design considerations for real aperture radar for imaging, and how a synthetic aperture can overcome these limitations to create a high-resolution radar image. Stripmap and spotlight SAR as well as quadrature demodulation and dechirp-on-receive, will be compared and contrasted. Spotlight SAR technology will be compared to computerized axial tomography (CAT). Signal processing of the SAR data will be covered, including motion compensation, Range-Doppler Algorithm, polar formatting, aperture weighting (or apodization), and autofocus. Application topics will include interferometric processing of SAR data, moving targets in SAR, and the difficulty in estimating motion of targets in single-channel SAR.
The course is valuable to engineers and scientists who are entering the field or as a review for employees who want a system level overview
What You Will Learn:
- History of synthetic aperture radar (SAR) and its current renaissance in the commercial market
- Concepts of high-resolution imaging with radar using a synthetic aperture
- Algorithm to “focus” the SAR image and which algorithms are associated with demodulation or dechirp
- Techniques to improve image quality, including autofocus and aperture weighting
- Characteristics of SAR evident in imagery, such as layover, as well as the ability to visually interpret a SAR scene
- Applications of SAR, including interferometry and moving objects
Day 1: SAR Basics
- Introduction to SAR
- Linear Frequency Modulation (LFM)
- Quadrature Demoduation/Dechirp
- The Synthetic Aperture
- What Is Doppler in SAR?
Day 2: Image Processing
- Overview of Image Formation/Processing
- Range-Doppler Algorithm
- Polar Formatting
- Image Quality
Day 3: Applications
- Ocean Remote Sensing (Wakes, Ice, Oil)
- Deep Learning
- Interferometry: Terrain, Coherent Change Detection, Earthquakes
- Moving Objects
Dr. E. David Jansing is a Principal Remote Sensing Scientist at Johns Hopkins University Applied Physics Laboratory. He has more than 20 years’ experience in remote sensing, including synthetic aperture radar, hyperspectral imaging, and infrared imaging. His research focuses on gleaning actionable information from remotely sensed data, particularly through automatic target recognition techniques and machine learning. Earned 2018 "Exceptional Online Course Design" award from Johns Hopkins University Engineering for Professional program. Patent #10235589 awarded for "Small Maritime Target Detector" using synthetic aperture radar. Author of the textbook, Introduction to Synthetic Aperture Radar: Concepts and Practice.
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