A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery

Research article (Remote Sensing, 2019) · cited 30× · AI/ML
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A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery

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A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-spectral-unmixing-method-by-maximum-margin-criterion-and-derivative-weights-to-address-spectral-variability-in-hypersp
MLA “A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-spectral-unmixing-method-by-maximum-margin-criterion-and-derivative-weights-to-address-spectral-variability-in-hypersp.
BibTeX @misc{4ortxyz_a-spectral-unmixing-method-by-maximum-margin-criterion-and-derivative-weights-to-address-spectral-variability-in-hypersp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery}}, year = {2026}, url = {https://4ort.xyz/entity/a-spectral-unmixing-method-by-maximum-margin-criterion-and-derivative-weights-to-address-spectral-variability-in-hypersp}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery — https://4ort.xyz/entity/a-spectral-unmixing-method-by-maximum-margin-criterion-and-derivative-weights-to-address-spectral-variability-in-hypersp (retrieved 2026-05-24)

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