A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses

A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses

In the process of object-based change detection (OBCD), scale is a significant factor related to extraction and analyses of subsequent change data. To address this problem, this paper describes an object-based approach to urban area change detection (CD) using rotation forest (RoF) and coarse-to-fin...

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Bibliographic Details
Main Authors: Wenqing Feng, Haigang Sui, Jihui Tu, Weiming Huang, Chuan Xu, Kaimin Sun
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Remote Sensing
Subjects:
change detection
segmentation
scale
features
neighborhood correlation image analyses
rotation forest
majority voting
Online Access:http://www.mdpi.com/2072-4292/10/7/1015

Internet

http://www.mdpi.com/2072-4292/10/7/1015

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