Decoding the city: harnessing machine learning to extract building attributes from street-view imagery
Building attribute data can be used to improve the accuracy of hazard risk models, but detailed per-building data is generally unavailable due to the difficulty of collecting and maintaining such data. Machine learning models could be used to automate part of the collection process, by analysing...
मुख्य लेखक: | Chia, Zhi Yi |
---|---|
अन्य लेखक: | David Lallemant |
स्वरूप: | Final Year Project (FYP) |
भाषा: | English |
प्रकाशित: |
Nanyang Technological University
2024
|
विषय: | |
ऑनलाइन पहुंच: | https://hdl.handle.net/10356/174813 |
समान संसाधन
-
Measuring cyclists’ subjective perceptions of the street riding environment using K-means SMOTE-RF model and street view imagery
द्वारा: Qisheng Zeng, और अन्य
प्रकाशित: (2024-04-01) -
Robust Building Identification from Street Views Using Deep Convolutional Neural Networks
द्वारा: Robin Roussel, और अन्य
प्रकाशित: (2024-02-01) -
Integrating street view imagery and taxi trajectory for identifying urban function of street space
द्वारा: Mianxin Gao, और अन्य
प्रकाशित: (2024-04-01) -
Combining OpenStreetMap with Satellite Imagery to Enhance Cross-View Geo-Localization
द्वारा: Yuekun Hu, और अन्य
प्रकाशित: (2024-12-01) -
Review of Application Progress of Panoramic Imagery in Urban Research
द्वारा: HOU Xin, WANG Yan, WANG Xuan, FAN Wei
प्रकाशित: (2024-07-01)