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September 10, 2025BuildingsOpen Access

Building Instance Extraction via Multi-Scale Hybrid Dual-Attention Network

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Authors

QHQingqing HuYPYiran PengCZChi Zhang

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Overview

This framework improves building instance segmentation in high-resolution remote sensing images, enhancing contextual representation.

Key Points

  • MS-HDAN significantly enhances building instance segmentation, improving accuracy in complex urban environments.
  • The model integrates a local feature extraction pathway and global context modeling to achieve superior performance.
  • By employing a hybrid attention mechanism, the approach captures both structural and semantic details effectively.
  • The solution demonstrates robustness in real-world applications, particularly for urban planning and development.

Cite This Study

Hu et al. (2025) studied this question.

synapsesocial.com/papers/68c1d97d54b1d3bfb60fb00chttps://doi.org/10.3390/buildings15173102
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