A Refined Method of High-Resolution Remote Sensing Change Detection Based on Machine Learning for Newly Constructed Building Areas

A Refined Method of High-Resolution Remote Sensing Change Detection Based on Machine Learning for Newly Constructed Building Areas

Automatic detection of newly constructed building areas (NCBAs) plays an important role in addressing issues of ecological environment monitoring, urban management, and urban planning. Compared with low-and-middle resolution remote sensing images, high-resolution remote sensing images are superior i...

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Bibliographic Details
Main Authors: Haibo Wang, Jianchao Qi, Yufei Lei, Jun Wu, Bo Li, Yilin Jia
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
high-resolution remote sensing
change detection
deep learning
areas registration
SVM
newly constructed building areas
Online Access:https://www.mdpi.com/2072-4292/13/8/1507

Internet

https://www.mdpi.com/2072-4292/13/8/1507

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