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    Hyperspectral imaging - Wikipedia

    Hyperspectral sensors look at objects using a vast portion of the electromagnetic spectrum. Certain objects leave unique 'fingerprints' in the electromagnetic spectrum. Known as spectral signatures, these 'fingerprints' enable identification of the materials that make up a scanned object. See more

    Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each … See more

    Applications image
    Distinguishing hyperspectral from multispectral imaging image

    Hyperspectral imaging is part of a class of techniques commonly referred to as spectral imaging or spectral analysis. The term “hyperspectral imaging” derives from the development of NASA's Airborne Imaging Spectrometer (AIS) and AVIRIS in the mid-1980s. … See more

    The primary advantage to hyperspectral imaging is that, because an entire spectrum is acquired at each point, the operator needs no … See more

    Scanning techniques image

    Figuratively speaking, hyperspectral sensors collect information as a set of 'images'. Each image represents a narrow wavelength range of the electromagnetic spectrum, also … See more

    There are four basic techniques for acquiring the three-dimensional (x, y, λ) dataset of a hyperspectral cube. The choice of technique … See more

    Hyperspectral remote sensing is used in a wide array of applications. Although originally developed for mining and geology (the ability … See more

     
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  3. What is hyperspectral Imaging?: A Comprehensive …

    WEBHyperspectral imaging is a technique that collects and processes information across the electromagnetic spectrum to identify objects and materials by their spectral signatures. Learn how hyperspectral imaging …

  4. Hyperspectral Sensor - an overview | ScienceDirect Topics

  5. What is Hyperspectral Imaging and how do spectral sensors work?

  6. Hyperspectral and Multispectral Imaging | Features

    WEBHyperspectral and multispectral imaging are used in agriculture to monitor the health of fields across a broad range of the electromagnetic spectrum. In typical machine vision applications, the illumination used and …

  7. Multispectral Vs. Hyperspectral Imaging: Differences And Uses

  8. Hyperspectral Imaging: Principles & Applications - Photonic Science

  9. Hyperspectral Sensors, a Quick Guide

  10. Capturing hyperspectral images | Nature Methods

  11. Video-rate hyperspectral camera based on a CMOS-compatible …

  12. Developments in Hyperspectral Sensing | SpringerLink

  13. Hyperspectral Imaging Spectroscopy: A Look at Real-Life

  14. Ultrasensitive hyperspectral imaging and biodetection …

    WEBApr 1, 2019 · Here, we combine dielectric metasurfaces and hyperspectral imaging to develop an ultrasensitive label-free analytical platform for biosensing.

  15. Overview of Hyperspectral Imaging Remote Sensing from Satellites

  16. Hyperspectral and Multispectral Imaging | Edmund Optics

  17. Hyperspectral and Multispectral Imaging | Edmund Optics

  18. Multispectral vs Hyperspectral Imagery Explained - GIS Geography

  19. Imaging with Hyperspectral Sensors: The Optimum Design for

  20. Hyperspectral imaging and target detection algorithms: a review

  21. Introduction (Chapter 1) - Hyperspectral Imaging Remote Sensing

  22. Machine Vision - Headwall Photonics

  23. Sensor and camera requirements for hyperspectral imaging

  24. About Hyperspectral Remote Sensing Data - NSF NEON

  25. The HyMap Airborne Hyperspectral Sensor: The System, …

  26. Remote Sensing | Corning

  27. Table 2 - Hyperspectral Sensor Characteristics | U.S. Geological …

  28. Hyperspectral | Teledyne DALSA

  29. Hyperspectral Image Super-Resolution via Sparsity …

  30. Tucker tensor decomposition with rank estimation for sparse ...

  31. Study on Hyperspectral Remote Sensing Based Rapid ... - Springer