Review and Comparison: Building Extraction Methods Using High-Resolution Images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5446611/5447160/05447259.pdf?arnumber=5447259
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. ARE-Net: An Improved Interactive Model for Accurate Building Extraction in High-Resolution Remote Sensing Imagery;Remote Sensing;2023-09-10
2. On the Robustness and Generalization Ability of Building Footprint Extraction on the Example of SegNet and Mask R-CNN;Remote Sensing;2023-04-18
3. Context–content collaborative network for building extraction from high-resolution imagery;Knowledge-Based Systems;2023-03
4. Deep Learning-Based Building Extraction from Remote Sensing Images: A Comprehensive Review;Energies;2021-11-29
5. Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction;Remote Sensing;2021-07-22
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