Building Extraction from Google Earth Images-Reference-Cited by-同舟云学术

Building Extraction from Google Earth Images

Published:2019-12-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services
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Author:

Xing Jifang¹,Ruixi Zhang¹,Zen Remmy¹,Arsa Dewa Made Sri²,Khalil Ismail³,Bressan Stéphane¹

Affiliation:

1. National University of Singapore

2. Udayana University

3. Johannes Kepler University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366030.3368456

Reference80 articles.

1. Fast ICA based algorithm for building detection from VHR imagery

2. Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest

3. Review of deep convolution neural network in image classification

4. A review on deep convolutional neural networks

5. The Image Analysis and Data Fusion Technical Committee. 2015. GRSS Data Fusion Contest. IEEE. http://www.grss-ieee.org/community/technical-committees/data-fusion The Image Analysis and Data Fusion Technical Committee. 2015. GRSS Data Fusion Contest. IEEE. http://www.grss-ieee.org/community/technical-committees/data-fusion

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