Hyperspectral Applications

Applications

Resonon hyperspectral systems enable you to accurately and consistently distinguish between similar colors or materials. Our systems are in use worldwide on platforms ranging from airplanes to microscopes. As the following examples demonstrate, our solutions solve a wide range of problems.

Remote SensingPrecision AgricultureEnvironmental MonitoringBiotechnologyFood AnalysisMachine Vision

Remote Sensing

Resonon hyperspectral imaging cameras are used in air, space, and underwater vehicles to capture detailed spectral data for a wide range of uses.

Application Example

NASA ARCSTONE

Resonon has partnered with NASA on the ARCSTONE project to design and build custom hyperspectral instruments for lunar reflectance calibration. Currently preparing for ground test, ARCSTONE will eventually enable the Moon to be used as an accurate calibration source for earth-viewing satellite instruments.

Click here for more information.

Precision Agriculture

Hyperspectral imaging enables identification of weeds, monitoring of plant health, and evaluation of ripeness. Early detection of crop stress is a common application.

Application Example

Hyperspectral Classification of Invasive Weeds

Invasive Weed Mapping

A Resonon airborne hyperspectral imaging system was used to identify and locate an invasive weed infestation.

Published in: S.C. Jay et al., Geoscience and Remote Sensing Symposium (IGARSS) (2010).

Application Example

Ladybird Agriculture Robot

The Ladybird precision agriculture robot, developed at the University of Sydney, uses a Resonon hyperspectral imaging camera, in addition to other sensors, to autonomously map, classify, and detect problems in vegetable crops.

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Application Example

Yield estimation in wheat

Hyperspectral remote sensing was used to help predict yield in wheat as a function of fertilizer concentration. LAI and chlorophyll were measured for 24 plots using 8 nitrogen treatments.

Published in: M. Kanning et al.,High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction, Remote Sensing (2018).

Environmental Monitoring

Hyperspectral imaging is used to track forest health, water quality, and surface contamination.

Application Example

Hyperspectral Imaging of Algae Blooms in Lake Erie

NOAA GLERL and the University of Michigan's Cooperative Institute for Great Lakes Research fly weekly airborne campaigns with a Resonon hyperspectral imaging system to track and understand the spread of harmful algal blooms in western Lake Erie.

Click here to view true-color imagery data.

Application Example

Riverside Research uses a Resonon hyperspectral camera for studying water quality.

Hyperspectral Imaging of Contaminated River Water

In-situ measurements of the Mississippi River Watershed were used to detect nitrates, phosphates, and sediments.

Courtesy of our friends at Riverside Research and their colleagues at the National Great Rivers Education Center.

Hyperspectral Imaging of Contaminated River Water

Biotechnology

Hyperspectral imaging is used for a wide-range of biological and medical applications.

Application Example

Seed Viability

Viable and non-viable Corymbia seeds that appear identical to the human eye can be clearly distinguished using hyperspectral data.

Published in: C. Nansen et al., J. Photochem. and Photobio. B (2015).

Click here for hyperspectral data from this research.

Application Example

Wound Healing

Scientists from NIST and The Ohio State University used a Resonon hyperspectral imaging camera to characterize wounds.

Published in: Xu, Ronald X et al. “Developing digital tissue phantoms for hyperspectral imaging of ischemic wounds” Biomed. Opt. Exp. (2012).

Food Analysis

Resonon's hyperspectral imaging systems are used in food research and industry to identify defects, characterize product quality, and locate contaminants.

Application Example

Nut Sorting

Hyperspectral imaging enables robotic sorting of nuts from shells and other foreign material, a job traditionally accomplished via manual sorting.

The image of walnuts shows the classification of the walnut meat (green) and shell (orange) components.

Application Example

Cooked Food

Subtle color changes associated with food quality can readily be identified using hyperspectral imaging.

The image of chicken nuggets shows the classification: missing breading (red), crispy (green), and appropriately-cooked (blue).

Machine Vision

Hyperspectral machine vision detects small color differences more accurately and identifies different materials more reliably than conventional imaging. Resonon's system can be interfaced to robots, labeling devices, or used as feedback for sorting, grading, or process control.

Application Example

Pharmaceuticals

Hyperspectral infrared imagers can identify counterfeits, find defects, and eliminate prescription errors.

The image shows three types of white pills, indistinguishable by color to the human eye, but accurately classified via Resonon near-infrared hyperspectral machine vision.

Application Example

Hyperspectral Classification of Industrial Surfaces

Identifying Finished Goods

A major manufacturer of laminates uses Resonon machine vision systems at multiple facilities to identify over 30,000 products daily from a library of several thousand.

The image shows two nearly-identical products that are accurately differentiated using Resonon machine vision.