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Compressive Sampling for Non-Imaging Remote Classification
Author(s) -
David J. Brady,
Daniel L. Marks,
Alex Mrozack,
Tsung-Han Tsai
Publication year - 2013
Language(s) - English
Resource type - Reports
DOI - 10.21236/ada597112
Subject(s) - compressed sensing , sampling (signal processing) , remote sensing , computer science , artificial intelligence , geology , geography , computer vision , filter (signal processing)
: Compressive sampling strategies using image-space modulation for polarization and spectral data cube reconstruction and interferometric subsampling for coherence measurement were demonstrated. Compressive millimeter wave imaging systems were demonstrated using the common mathematical and physical analysis framework. A new design for multiscale wide aperture high resolution telescopes was developed. The new approach may combine image plane compression with parallel multiscale cameras to enable wide area object capture at the physical limits of spatial, spectral and temporal resolution.

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