ForkNet: Strong Semantic Feature Representation and Subregion Supervision for Accurate Remote Sensing Change Detection

In this article, we propose an effective siamese feature pyramid network (FPN), ForkNet, for remote sensing change detection (RSCD). We find that the siamese network structure, which is widely used for RSCD, contains only one downsampling network in the feature extraction stage, e.g., VGG16 and ResN...

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Principais autores:	Haoming He, Yerui Chen, Mingchao Li, Qiang Chen
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2022-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Feature pyramid network (FPN) pyramid Tversky loss remote sensing change detection (RSCD) siamese network
גישה מקוונת:	https://ieeexplore.ieee.org/document/9718140/
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