Investigation on Dimensionality Reduction methods for Tree-Crown Segmentation in Hyperspectral imagery using Segment Anything Model
Forests play a vital role in global ecosystems, and accurate monitoring of tree crowns is essential for forest management and biodiversity conservation. This study investigates the use of hyperspectral imagery and dimensionality reduction methods for individual tree-crown (ITC) segmentation, a cruci...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/705/2025/isprs-annals-X-G-2025-705-2025.pdf |
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