A Benchmark for Building Footprint Classification Using Orthorectified RGB Imagery and Digital Surface Models from Commercial Satellites

Author:

Goldberg Hirsh,Brown Myron,Wang Sean

Publisher

IEEE

Cited by 11 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. UBC-CN: Fine-Grained Building Extraction Dataset For Chinese Regions;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Improving the accuracy of object classification on the ground based on a combination of sensory modalities using binary cross-tropism as a loss function.;Communication, informatization and cybersecurity systems and technologies;2023-12-21

3. Semantic Segmentation of RGB Satellite Urban Images Based on Improved U-Net;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

4. Building a National Spatio-Temporal Datacube;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. Urban Building Classification (UBC) V2—A Benchmark for Global Building Detection and Fine-Grained Classification From Satellite Imagery;IEEE Transactions on Geoscience and Remote Sensing;2023

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