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Full-Text Articles in Physical Sciences and Mathematics
Sparse Representation For The Isar Image Reconstruction, Mengqi Hu
Sparse Representation For The Isar Image Reconstruction, Mengqi Hu
Theses and Dissertations
In this paper, a sparse representation for the data form a multi-input multi-output based inverse synthetic aperture radar (ISAR) system is derived for two dimensions. The proposed sparse representation motivates the use a of a Convex Optimization directly that recovers the image without the loss information of the image with far less samples that that is required by Nyquist–Shannon sampling theorem, which increases the efficiency and decrease the cost of calculation in radar imaging.
Compressive Sensing And Radar Imaging, John Montalbo
Compressive Sensing And Radar Imaging, John Montalbo
Theses and Dissertations
The field of remote sensing contains many unique and practical problems. Radar imaging, in all of its many forms, lies within this field of study. One problem is the need to acquire high-resolution images and store them on-board the system acquisition vessel . For some systems this could mean storing very high amounts of data, depending on the scene in question [3]. So a very natural goal is to store only what is absolutely necessary and nothing more. We investigate methods to compress signals into their most important components so that other parties can recover the original data completely or …