Improving Building Segmentation Using Uncertainty Modeling and Metadata Injection-Reference-Cited by-同舟云学术

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Improving Building Segmentation Using Uncertainty Modeling and Metadata Injection

Published:2021-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th International Conference on Advances in Geographic Information Systems
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Author:

Hao Hanxiang¹,Baireddy Sriram¹,LaTourette Kevin²,Konz Latisha²,Chan Moses³,Comer Mary L.¹,Delp Edward J.¹

Affiliation:

1. Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA

2. Optical Payload Center of Excellence, Lockheed Martin Space Littleton, Colorado, USA

3. Advanced Technology Center, Lockheed Martin Space Sunnyvale, California, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474717.3483918

Reference14 articles.

1. ImageNet: A large-scale hierarchical image database

Cited by 1 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. Deep Semantic Segmentation of Trees Using Multispectral Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

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