HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection

• URL: http://arxiv.org/abs/2302.10420v1
• Date: Tue, 21 Feb 2023 03:16:22 GMT
• Title: HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
• Authors: Chengxi Han, Chen Wu, Bo Du
• Abstract summary: We have proposed a hierarchical change guiding map network (HCGMNet) for change detection. The model uses hierarchical convolution operations to extract multiscale features. The proposed HCGMNet architecture achieves better CD performance than existing state-of-the-art (SOTA) CD methods.
• Score: 32.23764287942984
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Very-high-resolution (VHR) remote sensing (RS) image change detection (CD) has been a challenging task for its very rich spatial information and sample imbalance problem. In this paper, we have proposed a hierarchical change guiding map network (HCGMNet) for change detection. The model uses hierarchical convolution operations to extract multiscale features, continuously merges multi-scale features layer by layer to improve the expression of global and local information, and guides the model to gradually refine edge features and comprehensive performance by a change guide module (CGM), which is a self-attention with changing guide map. Extensive experiments on two CD datasets show that the proposed HCGMNet architecture achieves better CD performance than existing state-of-the-art (SOTA) CD methods.

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