The dataset contains a hyperspectral scan (900-1700 nm, 244 spectral channels) of a metal sheet with 10 different oil and grease contaminations. It is thought for testing ML algorithms on hyperspectral material identification. Camera: Specim FX-17This dataset was created within the EIT-M funded project LoViCoSpec in 2020
We present a dataset of close range hyperspectral images of materials that span the visible and near...
International audienceWe present a dataset of close range hyperspectral images of materials that spa...
Hyperspectral dataset made of individual pigment patches, useful for the quality evaluation or valid...
To correctly assess the cleanliness of technical surfaces in a production process, corresponding onl...
To correctly assess the cleanliness of technical surfaces in a production process, corresponding onl...
Fourier transform spectroscopy has found application in many areas including chemometrics, biomedica...
The aerial hyperspectral imagery has a large information content and contains data not just only in ...
Light fractions produced after vehicles dismantling are conventionally defined as "fluff" or Automot...
Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acq...
MOBIMA is a research project carried out at Umeå University which aims to develop non-destructive an...
Manmade crude oil contamination, which has negative impacts on the environment and human health, can...
This degree project focused on examining new possible application of near-infrared (NIR) spectroscop...
Near infrared hyperspectral imaging in the range 900–1700 nm was applied to classify Para rubber she...
The problem of marine plastic litters is the object of recent worldwide attention and is the object ...
Advances in remote sensing technologies are increasingly becoming more useful for resource, ecosyste...
We present a dataset of close range hyperspectral images of materials that span the visible and near...
International audienceWe present a dataset of close range hyperspectral images of materials that spa...
Hyperspectral dataset made of individual pigment patches, useful for the quality evaluation or valid...
To correctly assess the cleanliness of technical surfaces in a production process, corresponding onl...
To correctly assess the cleanliness of technical surfaces in a production process, corresponding onl...
Fourier transform spectroscopy has found application in many areas including chemometrics, biomedica...
The aerial hyperspectral imagery has a large information content and contains data not just only in ...
Light fractions produced after vehicles dismantling are conventionally defined as "fluff" or Automot...
Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acq...
MOBIMA is a research project carried out at Umeå University which aims to develop non-destructive an...
Manmade crude oil contamination, which has negative impacts on the environment and human health, can...
This degree project focused on examining new possible application of near-infrared (NIR) spectroscop...
Near infrared hyperspectral imaging in the range 900–1700 nm was applied to classify Para rubber she...
The problem of marine plastic litters is the object of recent worldwide attention and is the object ...
Advances in remote sensing technologies are increasingly becoming more useful for resource, ecosyste...
We present a dataset of close range hyperspectral images of materials that span the visible and near...
International audienceWe present a dataset of close range hyperspectral images of materials that spa...
Hyperspectral dataset made of individual pigment patches, useful for the quality evaluation or valid...
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