Translator Disclaimer
9 October 2018 Compressive sensing for active imaging in SWIR spectral range
Author Affiliations +
Abstract
Compressive sensing (CS) is an imaging method that enables the replacement of expensive matrix detectors by small and cheap detectors with one or a few detector elements. A high-resolution image is realized from a series of individual single-value measurements. Each measurement consists of capturing the image from an object or a scene after coding by a well-defined pattern. The reconstruction of the high-resolution image requires a number of measurements significantly smaller than the number of full-frame image pixels. This is because most natural images may be sparsely coded, i.e. we may find an appropriate basis for which most coefficients are close to zero. This paper reports CS experiments under pulse laser illumination at 1.55 μm. The light collected from the observed scene is spatially modulated using a digital micromirror device (DMD) and projected onto a single-pixel detector. The applied binary patterns are generated using a Hadamard matrix. Different approaches for pattern selection have been implemented and compared.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gabriela Paunescu, Peter Lutzmann, and Daniel Wegner "Compressive sensing for active imaging in SWIR spectral range", Proc. SPIE 10796, Electro-Optical Remote Sensing XII, 107960A (9 October 2018); https://doi.org/10.1117/12.2325377
PROCEEDINGS
7 PAGES + PRESENTATION

SHARE
Advertisement
Advertisement
Back to Top