Optical–SAR Data Fusion Based on Simple Layer Stacking and the XGBoost Algorithm to Extract Urban Impervious Surfaces in Global Alpha Cities

Optical–SAR Data Fusion Based on Simple Layer Stacking and the XGBoost Algorithm to Extract Urban Impervious Surfaces in Global Alpha Cities

This study proposes a fusion approach to enhancing urban remote sensing applications by integrating SAR (Sentinel-1) and optical (Landsat-8) satellite datasets. The fusion technique combines feature-based fusion and simple layer stacking (SLS) to improve the accuracy of urban impervious surface (UIS...

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Bibliographic Details
Main Authors: Muhammad Nasar Ahmad, Zhenfeng Shao, Akib Javed, Israr Ahmad, Fakhrul Islam, Hariklia D. Skilodimou, George D. Bathrellos
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
data fusion
impervious surface
Landsat 8
layer stacking
Sentinel-1
Online Access:https://www.mdpi.com/2072-4292/16/5/873

Internet

https://www.mdpi.com/2072-4292/16/5/873

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