A co-learning method to utilize optical images and photogrammetric point clouds for building extraction Article Swipe
Yuxing Xie
,
Jiaojiao Tian
,
Xiao Xiang Zhu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.jag.2022.103165
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.jag.2022.103165
Although deep learning techniques have brought unprecedented accuracy to automatic building extraction, several main issues still constitute an obstacle to effective and practical applications. The industry is eager for higher accuracy and more flexible data usage. In this paper, we present a co-learning framework applicable to building extraction from optical images and photogrammetric point clouds, which can take the advantage of 2D/3D multimodality data. Instead of direct information fusion, our co-learning framework adaptively exploits knowledge from another modality during the training phase with a soft connection, via a predefined loss function. Compared to conventional data fusion, this method is more flexible, as it is not mandatory to provide multimodality data in the test phase. We propose two types of co-learning: a standard version and an enhanced version, depending on whether unlabeled training data are employed. Experimental results from two data sets show that the methods we present can enhance the performance of both image and point cloud networks in few-shot tasks, as well as image networks when applying fully labeled training data sets.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jag.2022.103165
- OA Status
- gold
- Cited By
- 22
- References
- 46
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4313399119Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jag.2022.103165Digital Object Identifier
- Title
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A co-learning method to utilize optical images and photogrammetric point clouds for building extractionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-12-31Full publication date if available
- Authors
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Yuxing Xie, Jiaojiao Tian, Xiao Xiang ZhuList of authors in order
- Landing page
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https://doi.org/10.1016/j.jag.2022.103165Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.jag.2022.103165Direct OA link when available
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Point cloud, Computer science, Photogrammetry, Artificial intelligence, Multimodality, Point (geometry), Exploit, Image (mathematics), Computer vision, Function (biology), Data mining, Machine learning, Mathematics, Biology, World Wide Web, Geometry, Computer security, Evolutionary biologyTop concepts (fields/topics) attached by OpenAlex
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22Total citation count in OpenAlex
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2025: 6, 2024: 10, 2023: 6Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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