A Novel Change Detection Framework in Urban Area Using Multilevel Matching Feature and Automatic Sample Extraction Strategy

A Novel Change Detection Framework in Urban Area Using Multilevel Matching Feature and Automatic Sample Extraction Strategy

Urban change detection (CD) using remote sensing images is of great significance for monitoring and analyzing the spatial and temporal distribution of changes within cities, which can be used to guide urban management. In order to reduce false detections and improve the CD automation, a novel CD fra...

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Bibliographic Details
Main Authors: Yuanxiu Zhou, Yan Song, Songxue Cui, Haitian Zhu, Jie Sun, Wenjun Qin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Automatic sample extraction strategy
change detection (CD)
Gaussian-weighted Dempster–Shafer evidence theory
high resolution image
multilevel matching feature
sequential spectral change vector analysis
Online Access:https://ieeexplore.ieee.org/document/9372823/

Internet

https://ieeexplore.ieee.org/document/9372823/

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