Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments

Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments

Aerial image data are becoming more widely available, and analysis techniques based on supervised learning are advancing their use in a wide variety of remote sensing contexts. However, supervised learning requires training datasets which are not always available or easy to construct with aerial ima...

书目详细资料
Main Authors:	Francis, J, Bright, J, Esnaashari, S, Hashem, Y, Morgan, D, Straub, VJ
格式:	Journal article
语言:	English
出版:	Springer Nature 2023

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