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Lingli ZhuAuthor on Muck Rack

Lingli ZhuAuthor

As seen in: GIM International
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Articles

Enhancing building extraction with Lidar and aerial image data

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By Lingli Zhu, Emilia Hattula, Jere Raninen, Lingli ZhuAuthor
| GIM International
Article Examining data combinations for improved accuracy in rural and urban environments • With the expansion of artificial intelligence (AI) applications, automating building extraction from remote sensing data has gained significant traction. By leveraging Lidar and aerial-image digital surface models with deep learning, a Finnish study has explored different data combinations that enhance building detection accuracy in rural and urban areas.
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How the National Land Survey of Finland is exploring AI technology

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By Lingli Zhu, Jere Raninen, Emilia Hattula, Lingli ZhuAuthor
| GIM International
The National Land Survey of Finland (NLS) is a good example of how artificial intelligence (AI) is entering national mapping agencies. Approximately two years ago, NLS set up the Advanced Technology for National Topographic Map Updating (ATMU) project supported by funding from the Finnish Ministry of Finance. This project was focused on developing deep learning solutions for object detection and change recognition, for buildings, roads and hydrographic features (watercourses).
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