Compressive Sensing for Detection of Concealed Objects

Date

2015-11-06

Author

Altan, Hakan

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http://www.tera-mir.org/main/node/80
https://hdl.handle.net/11511/71483

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Compressive sensing for radar target detection Çağlıyan, Firuze; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2014) Compressive sampling, also known as compressive sensing and sparse recovery, is a new type of sampling theory, which predicts that sparse signals and images can be reconstructed from far less amount of data than what was traditionally considered necessary (i.e. Nyquist/Shannon sampling theory). The theory has many applications such as design of new imaging systems, cameras, sensor networks and analog to digital converters. Several algorithms have been proposed for the measurement and recovery process of the...
Compressive sensing imaging through a drywall barrier at sub-THz and THz frequencies in transmission and reflection modes Takan, Taylan; ÖZKAN, VEDAT ALİ; Idikut, Firat; Yildirim, Ihsan Ozan; ŞAHİN, ASAF BEHZAT; Altan, Hakan (2014-09-24) In this work sub-terahertz imaging using Compressive Sensing (CS) techniques for targets placed behind a visibly opaque barrier is demonstrated both experimentally and theoretically. Using a multiplied Schottky diode based millimeter wave source working at 118 GHz, metal cutout targets were illuminated in both reflection and transmission configurations with and without barriers which were made out of drywall. In both modes the image is spatially discretized using laser machined, 10 x 10 pixel metal aperture...
Compressive sensing methods for multi-contrast magnetic resonance imaging Güngör, Alper; Yarman Vural, Fatoş Tunay; Çukur, Tolga; Department of Computer Engineering (2017) Compressive sensing (CS) is a signal processing tool that allows reconstruction of sparse signals from highly undersampled data. This study investigates application of CS to magnetic resonance imaging (MRI). In this study, first, an optimization framework for single contrast CS MRI is presented. The method relies on an augmented Lagrangian based method, specifically alternating direction method of multipliers (ADMM). The ADMM framework is used to solve a constrained optimization problem with an objective fu...
Compressive sensing imaging at Sub-THz frequency in transmission mode Özkan, Vedat Ali; Menteşe, Yıldız; Takan, Taylan; Şahin, Asaf Behzat; Altan, Hakan (Springer, Dordrecht, 2017-01-01) Due to lack of widespread array imaging techniques in the THz range, point detector applications coupled with spatial modulation schemes are being investigated using compressive sensing (CS) techniques. CS algorithms coupled with innovative spatial modulation schemes which allow the control of pixels on the image plane from which the light is focused onto single pixel THz detector has been shown to rapidly generate images of objects. Using a CS algorithm, the image of an object can be reconstructed rapidly....
Compressive Sensing Imaging at Sub-THz Frequency in Transmission Mode ÖZKAN, VEDAT ALİ; Mentese, Yildiz; Takan, Taylan; ŞAHİN, ASAF BEHZAT; Altan, Hakan (2015-11-05)

Citation Formats

H. Altan, “Compressive Sensing for Detection of Concealed Objects,” 2015, Accessed: 00, 2021. [Online]. Available: http://www.tera-mir.org/main/node/80.