Compressive Sampling for Non-Imaging Remote Classification

Abstract

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 22, 2013
Accession Number
ADA597112

Entities

People

  • Alex Mrozack
  • Daniel L. Marks
  • David Brady
  • Tsung-han Tsai

Organizations

  • Duke University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Cameras
  • Coding
  • Compressed Sensing
  • Computer Programming
  • Confocal Microscopy
  • Detectors
  • Frequency
  • High Resolution
  • Measurement
  • Modulation
  • Modulators
  • Optics
  • Remote Sensing
  • Synthetic Aperture Radar
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.

Technology Areas

  • 5G
  • 5G - Internet of Things
  • Space