Hyperspectral images for 'Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These are the VNIR hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus, https://doi.org/10.1016/j.icarus.2021.114402These hyperspectral images are of 'Mars trays', which consist of binary mixtures of either kaolinite, calcite, nontronite, montmorillonite, and gypsum with Mars Global Simulant (MGS-1; Cannon et al. (2019): doi.org/10.1016/j.icarus.2018.08.019). In these images, there are pure endmembers of each mineral, a pure MGS-1 endmember, and mixtures with 50%, 20%, 10%, 5%, 2.5%, and 1% abundance of each mineral that is mixed with MGS-1. Each endmember and mixture is separated into individual trays. Grain sizes for the minerals mixed with MGS-1 are either 45-75 microns, or 125-250 microns with a few gr' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["VNIR hyperspectral image, mineral mixtures, kaolinite, calcite, nontronite, montmorillonite, gypsum, Mars Global Simulant, MGS-1, laboratory hyperspectral images, VNIR hyperspectral groundtruthing"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These are the VNIR hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus, https://doi.org/10.1016/j.icarus.2021.114402These hyperspectral images are of 'Mars trays', which consist of binary mixtures of either kaolinite, calcite, nontronite, montmorillonite, and gypsum with Mars Global Simulant (MGS-1; Cannon et al. (2019): doi.org/10.1016/j.icarus.2018.08.019). In these images, there are pure endmembers of each mineral, a pure MGS-1 endmember, and mixtures with 50%, 20%, 10%, 5%, 2.5%, and 1% abundance of each mineral that is mixed with MGS-1. Each endmember and mixture is separated into individual trays. Grain sizes for the minerals mixed with MGS-1 are either 45-75 microns, or 125-250 microns with a few gr' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These are the VNIR hyperspectral images used in Tarnas et al. (2021) Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data, Icarus, https://doi.org/10.1016/j.icarus.2021.114402These hyperspectral images are of 'Mars trays', which consist of binary mixtures of either kaolinite, calcite, nontronite, montmorillonite, and gypsum with Mars Global Simulant (MGS-1; Cannon et al. (2019): doi.org/10.1016/j.icarus.2018.08.019). In these images, there are pure endmembers of each mineral, a pure MGS-1 endmember, and mixtures with 50%, 20%, 10%, 5%, 2.5%, and 1% abundance of each mineral that is mixed with MGS-1. Each endmember and mixture is separated into individual trays. Grain sizes for the minerals mixed with MGS-1 are either 45-75 microns, or 125-250 microns with a few gr
VNIR hyperspectral image, mineral mixtures, kaolinite, calcite, nontronite, montmorillonite, gypsum, Mars Global Simulant, MGS-1, laboratory hyperspectral images, VNIR hyperspectral groundtruthing