Dimensionality reduction of hyperspectral images of vegetation and crops based on self-organized maps
Hyperspectral images are multidimensional massive sets of information that have shown a great potential for different kind of applications as urban mapping, environmental management, vegetation and crops supervision and mineral detection. However, due to its high dimensional nature and the high vari...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2021-06-01
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| Series: | Information Processing in Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221431732030189X |