Fusion of SAR and Multispectral Images Using Random Forest Regression for Change Detection

In order to overcome the insufficiency of single remote sensing data in change detection, synthetic aperture radar (SAR) and optical image data can be used together for supplementation. However, conventional image fusion methods fail to address the differences in imaging mechanisms and cannot overco...

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Bibliographic Details
Main Authors: Dae Kyo Seo, Yong Hyun Kim, Yang Dam Eo, Mi Hee Lee, Wan Yong Park
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
SAR
Online Access:http://www.mdpi.com/2220-9964/7/10/401