Image reconstruction for single detector rosette scanning systems based on compressive sensing theory

Hande Uzeler; Serdar Cakir; Tayfun Aytaç

doi:10.1117/1.OE.55.2.023108

26 February 2016 Image reconstruction for single detector rosette scanning systems based on compressive sensing theory

Hande Uzeler, Serdar Cakir, Tayfun Aytaç

Author Affiliations +

Optical Engineering, Vol. 55, Issue 2, 023108 (February 2016). https://doi.org/10.1117/1.OE.55.2.023108

Abstract

Compressive sensing (CS) is a signal processing technique that enables a signal that has a sparse representation in a known basis to be reconstructed using measurements obtained below the Nyquist rate. Single detector image reconstruction applications using CS have been shown to give promising results. In this study, we investigate the application of CS theory to single detector infrared (IR) rosette scanning systems which suffer from low performance compared to costly focal plane array (FPA) detectors. The single detector pseudoimaging rosette scanning system scans the scene with a specific pattern and performs processing to estimate the target location without forming an image. In this context, this generation of scanning systems may be improved by utilizing the samples obtained by the rosette scanning pattern in conjunction with the CS framework. For this purpose, we consider surface-to-air engagement scenarios using IR images containing aerial targets and flares. The IR images have been reconstructed from samples obtained with the rosette scanning pattern and other baseline sampling strategies. It has been shown that the proposed scheme exhibits good reconstruction performance and a large size FPA imaging performance can be achieved using a single IR detector with a rosette scanning pattern.

Citation Download Citation

Hande Uzeler, Serdar Cakir, and Tayfun Aytaç "Image reconstruction for single detector rosette scanning systems based on compressive sensing theory," Optical Engineering 55(2), 023108 (26 February 2016). https://doi.org/10.1117/1.OE.55.2.023108

Published: 26 February 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available