Unsupervised multimodal change detection based on adaptive optimization of structured graph

Unsupervised multimodal change detection based on adaptive optimization of structured graph

Multimodal Change Detection (MCD) is essential for disaster evaluation and environmental monitoring by integrating various remote sensing data to monitor surface changes. However, the significant imaging differences in multimodal images render traditional unimodal change detection (UCD) methods inef...

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Bibliographic Details
Main Authors: Te Han, Yuqi Tang, Bin Zou, Huihui Feng
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Remote sensing
Change detection
Adaptively optimized structured graph
Structure feature
Multimodal
Threshold segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223004545

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http://www.sciencedirect.com/science/article/pii/S1569843223004545

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