A novel spectral-temporal Bayesian unmixing algorithm with spatial prior for Sentinel-2 time series
Author:
Affiliation:
1. School of Land Science and Technology, China University of Geosciences, Beijing, China
2. Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
Funder
autho
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2022.2044087
Reference16 articles.
1. Multitemporal Spectral Analysis for Algae Detection in an Eutrophic Lake using Sentinel 2 Images
2. Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection
3. Temporal partial unmixing of exotic salt cedar using Landsat time series
4. Unmixing Analysis of a Time Series of Hyperion Images Over the Guánica Dry Forest in Puerto Rico
5. Selecting the Best Band Ratio to Estimate Chlorophyll-a Concentration in a Tropical Freshwater Lake Using Sentinel 2A Images from a Case Study of Lake Ba Be (Northern Vietnam)
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