Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data
This article explores the use of Fisher discriminant analysis (FDA) as a method for extracting time-resolved information from multivariate environmental time series data. FDA is useful because it can be applied to multivariate input data and produces a transformation that is physically interpretable...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10812678/ |
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