Multi-Level Classification Based on Trajectory Features of Time Series for Monitoring Impervious Surface Expansions

Multi-Level Classification Based on Trajectory Features of Time Series for Monitoring Impervious Surface Expansions

As urbanization has profound effects on global environmental changes, quick and accurate monitoring of the dynamic changes in impervious surfaces is of great significance for environmental protection. The increased spatiotemporal resolution of imagery makes it possible to construct time series to ob...

Full description

Bibliographic Details
Main Authors: Beibei Wang, Zhenjie Chen, A-Xing Zhu, Yuzhu Hao, Changqing Xu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
image time series
LandTrendr
decision tree
support vector machine (SVM)
impervious surface expansion
Changzhou
Online Access:http://www.mdpi.com/2072-4292/11/6/640

Internet

http://www.mdpi.com/2072-4292/11/6/640

Similar Items