Refining Land-Cover Maps Based on Probabilistic Re-Classification in CCA Ordination Space

Refining Land-Cover Maps Based on Probabilistic Re-Classification in CCA Ordination Space

Due to spatial inhomogeneity of land-cover types and spectral confusions among them, land-cover maps suffer from misclassification errors. While much research has focused on improving image classification by re-processing source images with more advanced algorithms and/or using images of finer resol...

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Bibliographic Details
Main Authors: Yue Wan, Jingxiong Zhang, Wenjing Yang, Yunwei Tang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
map refinement
land-cover
canonical correspondence analysis
class occurrence pattern indices
reference sample data
refinability
Online Access:https://www.mdpi.com/2072-4292/12/18/2954

Internet

https://www.mdpi.com/2072-4292/12/18/2954

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