Extracting Impervious Surface from Aerial Imagery Using Semi-Automatic Sampling and Spectral Stability

The quantification of impervious surface through remote sensing provides critical information for urban planning and environmental management. The acquisition of quality reference data and the selection of effective predictor variables are two factors that contribute to the low accuracies of impervi...

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Bibliographic Details
Main Authors: Hua Zhang, Steven M. Gorelick, Paul V. Zimba
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/3/506