Publication

Hyperspectral remote sensing of crop properties with Unmanned Aerial Vehicles

2015
Conference Papers

Abstract

We present a case study conducted over the Field Phenotyping Platform (FIP) at the ETH Zürich research station for plant sciences at Eschikon, Lindau, as collaboration between EPFL TOPO laboratory, Gamaya company and the ETHZ Crop Science Laboratory. The aim of this case study was the determination of crop properties and phenotypes as related to spectral characteristics by using a novel Hyperspectral Imaging (HSI) snapshot camera developed by Gamaya.

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2015
Conference Papers

Abstract

Official source

Related concepts (21)

Hyperspectral imaging

Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. There are three general types of spectral imagers. There are push broom scanners and the related whisk broom scanners (spatial scanning), which read images over time, band sequential scanners (spectral scanning), which acquire images of an area at different wavelengths, and snapshot hyperspectral imagers, which uses a staring array to generate an image in an instant.

Spectral imaging

Spectral imaging is imaging that uses multiple bands across the electromagnetic spectrum. While an ordinary camera captures light across three wavelength bands in the visible spectrum, red, green, and blue (RGB), spectral imaging encompasses a wide variety of techniques that go beyond RGB. Spectral imaging may use the infrared, the visible spectrum, the ultraviolet, x-rays, or some combination of the above.

Multispectral imaging

Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range, i.e. infrared and ultra-violet. It can allow extraction of additional information the human eye fails to capture with its visible receptors for red, green and blue.

Related publications (1)

Hyperspectral remote sensing of crop properties with Unmanned Aerial Vehicles

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Joint trace/TV norm minimization: A new efficient approach for spectral compressive imaging