Time-Series Model-Adjusted Percentile Features: Improved Percentile Features for Land-Cover Classification Based on Landsat Data

Time-Series Model-Adjusted Percentile Features: Improved Percentile Features for Land-Cover Classification Based on Landsat Data

Percentile features derived from Landsat time-series data are widely adopted in land-cover classification. However, the temporal distribution of Landsat valid observations is highly uneven across different pixels due to the gaps resulting from clouds, cloud shadows, snow, and the scan line corrector...

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Bibliographic Details
Main Authors: Shuai Xie, Liangyun Liu, Jiangning Yang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
percentile feature
time-series model
land-cover classification
Landsat
continuous change detection
Online Access:https://www.mdpi.com/2072-4292/12/18/3091

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