RADAR IMAGING TECHNIQUES

Course objectives

The principles of the Synthetic Aperture Radar (SAR) are introduced, together with their focusing techniques. The signal processing techniques for autofocusing the SAR images and their corrections are described. The image processing techniques to extract the information out of the SAR images are considered in details.

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DEBORA PASTINA Lecturers' profile

Program - Frequency - Exams

Course program
Imaging radar systems from air- and space-based platform. SAR processing (approximately 2/3 of the course - 40 hours): - basic principles for synthetic aperture radar (SAR) - principles for system design and STRIPMAP, Spotlight SAR, SCANSAR acquisition modes - focusing and auto focusing techniques - geometric distortion correction - SAR images of moving targets - principles and processing techniques for the formation of ISAR (Inverse SAR) images of moving targets Extraction of information from SAR images (approximately 1/3 of the course - 20 hours): - statistical description of speckle noise - despeckling techniques - segmentation techniques - recognition and classification of extended targets - detection of changes and multi temporal patterns - information extraction from multi-dimensional images
Prerequisites
Basic knowledge of radar techniques and systems, signal theory.
Books
“Understanding SAR images”, C.J. Oliver, S. Quegan, Artech House, 2004, I.G. Cumming, F.H. Wong “Digital processing of Synthetic Aperture Radar”, Artech House W.G. Carrara, R.S. Goodman, R.M. Majewski, “Spotlight Synthetic Aperture Radar”, Artech House Supplementary material (slides) available on Classroom
Frequency
Attendance is not mandatory but strongly recommended.
Exam mode
The final exam requests the development of an activity to be done autonomously at home (homework) that includes the development and implementation of the techniques described in the lectures from a theoretical point of view and the analysis of the obtained results. Such activities are conducted by the student using the MatLab programming tools.The examination consists in a talk discussing the implemented procedures and the obtained results using for the talk a PowerPoint presentation (slides collection) describing the work carried out.
Bibliography
SAR basics C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House, Chapter 2. SAR focusing techniques RDA: I.G. Cumming, F.H. Wong “Digital processing of Synthetic Aperture Radar”, Artech House Chapter 6, Sections 6.1, 6.2, 6.3 CSA: Raney, R.K., Runge, H., Bamler, R., Wong, F.H. Precision SAR Processing Using Chirp Scaling (1994) IEEE Transactions on Geoscience and Remote Sensing, 32 (4), pp. 786-799. Disponibile @ https://ieeexplore.ieee.org/document/298008 SAR autofocus techniques W.G. Carrara, R.S. Goodman, R.M. Majewski, “Spotlight Synthetic Aperture Radar”, Artech House Chapter 6, Sections 6.1, 6.3, 6.4 C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 3, Sections 3.1, 3.2 SAR properties C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 4,Sections 4.1, 4.2, 4.3, 4.4, 4.5SAR data models C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 5,Sections 5.1, 5.2, 5.3, 5.4 SAR despeckle&segmentation C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 6, Sections 6.1,6.2, 6.3, 6.4 Chapter 7, Sections 7.1, 7.2, 7.3, 7.4
DEBORA PASTINA Lecturers' profile

Program - Frequency - Exams

Course program
Imaging radar systems from air- and space-based platform. SAR processing (approximately 2/3 of the course - 40 hours): - basic principles for synthetic aperture radar (SAR) - principles for system design and STRIPMAP, Spotlight SAR, SCANSAR acquisition modes - focusing and auto focusing techniques - geometric distortion correction - SAR images of moving targets - principles and processing techniques for the formation of ISAR (Inverse SAR) images of moving targets Extraction of information from SAR images (approximately 1/3 of the course - 20 hours): - statistical description of speckle noise - despeckling techniques - segmentation techniques - recognition and classification of extended targets - detection of changes and multi temporal patterns - information extraction from multi-dimensional images
Prerequisites
Basic knowledge of radar techniques and systems, signal theory.
Books
“Understanding SAR images”, C.J. Oliver, S. Quegan, Artech House, 2004, I.G. Cumming, F.H. Wong “Digital processing of Synthetic Aperture Radar”, Artech House W.G. Carrara, R.S. Goodman, R.M. Majewski, “Spotlight Synthetic Aperture Radar”, Artech House Supplementary material (slides) available on Classroom
Frequency
Attendance is not mandatory but strongly recommended.
Exam mode
The final exam requests the development of an activity to be done autonomously at home (homework) that includes the development and implementation of the techniques described in the lectures from a theoretical point of view and the analysis of the obtained results. Such activities are conducted by the student using the MatLab programming tools.The examination consists in a talk discussing the implemented procedures and the obtained results using for the talk a PowerPoint presentation (slides collection) describing the work carried out.
Bibliography
SAR basics C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House, Chapter 2. SAR focusing techniques RDA: I.G. Cumming, F.H. Wong “Digital processing of Synthetic Aperture Radar”, Artech House Chapter 6, Sections 6.1, 6.2, 6.3 CSA: Raney, R.K., Runge, H., Bamler, R., Wong, F.H. Precision SAR Processing Using Chirp Scaling (1994) IEEE Transactions on Geoscience and Remote Sensing, 32 (4), pp. 786-799. Disponibile @ https://ieeexplore.ieee.org/document/298008 SAR autofocus techniques W.G. Carrara, R.S. Goodman, R.M. Majewski, “Spotlight Synthetic Aperture Radar”, Artech House Chapter 6, Sections 6.1, 6.3, 6.4 C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 3, Sections 3.1, 3.2 SAR properties C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 4,Sections 4.1, 4.2, 4.3, 4.4, 4.5SAR data models C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 5,Sections 5.1, 5.2, 5.3, 5.4 SAR despeckle&segmentation C. Oliver, S. Quegan “Understanding Synthetic Aperture Radar Images”, Artech House Chapter 6, Sections 6.1,6.2, 6.3, 6.4 Chapter 7, Sections 7.1, 7.2, 7.3, 7.4
  • Lesson code10606343
  • Academic year2025/2026
  • CourseSpace and astronautical engineering
  • CurriculumSpace payloads and applications for telecommunication, navigation, and Earth observation
  • Year2nd year
  • Semester1st semester
  • SSDING-INF/03
  • CFU6