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🚀 GeoAI Tutorial 6: Building Footprint Regularization Using Deep Learning and GeoAI! 🌍 Learn how to regularize building footprints detected from aerial imagery with three different regularization techniques. Transform building footprints with rugged edges into smooth and rectangular shapes. 🎥 Watch the full tutorial here: 📓 Access the notebook:... show more

Qiusheng Wu

50,176 subscribers

16,568 Aufrufe • vor 1 Jahr •via X (Twitter)

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8 Kommentare

Profilbild von andygol.bsky.social

andygol.bsky.socialvor 1 Jahr

Is this applicable to low-quality imagery, especially in densely populated areas of Southeast Asia?

Profilbild von Qiusheng Wu

Qiusheng Wuvor 1 Jahr

Maybe, I have not tested on medium resolution images yet

Profilbild von Rainmaker

Rainmakervor 2 Jahren

🚀 Discover how Reinforcement Learning can transform trading strategies! Check out my free Substack for full code and backtest of the completed Q-learning algorithm. Don't miss out! 📈✨

Profilbild von Jack Tang

Jack Tangvor 1 Jahr

Is there rooftop extraction model?

Profilbild von Jonathan Chemla

Jonathan Chemlavor 1 Jahr

Seems that your USA buildings example based on the @Esri building footprint extraction model does output nicer geometries, parametrized by rectangularity, orthogonality, angle thresholds. Is it simply a matter of params, or are the underlying methods really different?

Profilbild von Qiusheng Wu

Qiusheng Wuvor 1 Jahr

Their building regularization algorithm isn't open source. I have to implement it on my own. If you are aware of any other open source algorithms that have better performance, I would be happy to integrate them

Profilbild von Dillon

Dillonvor 1 Jahr

Wow that's useful. Amazing work, the docs are great. Going to play with this at the weekend. Is it expensive to run?

Profilbild von Qiusheng Wu

Qiusheng Wuvor 1 Jahr

You can run it on Colab. It is free.

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