Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging

Research article (Scientific Reports, 2022) · cited 13× · AI/ML
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Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging

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Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/tree-species-composition-mapping-with-dimension-reduction-and-post-classification-using-very-high-resolution-hyperspectr
MLA “Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tree-species-composition-mapping-with-dimension-reduction-and-post-classification-using-very-high-resolution-hyperspectr.
BibTeX @misc{4ortxyz_tree-species-composition-mapping-with-dimension-reduction-and-post-classification-using-very-high-resolution-hyperspectr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging}}, year = {2026}, url = {https://4ort.xyz/entity/tree-species-composition-mapping-with-dimension-reduction-and-post-classification-using-very-high-resolution-hyperspectr}, note = {Accessed: 2026-05-24}}
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