Combined Improved Dirichlet Models and Deep Learning Models for Road Extraction from Remote Sensing Images

Combining Dirichlet Mixture Models (DMM) with deep learning models for road extraction is an attractive study topic. Benefiting from DMM, the manually labeling work is alleviated. However, DMM suffers from high computational complexity due to pixel by pixel computations. Also, traditional constant p...

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Bibliographic Details
Published inCanadian journal of remote sensing Vol. 47; no. 3; pp. 465 - 484
Main Authors Chen, Ziyi, Wang, Cheng, Li, Jonathan, Zhong, Bineng, Du, Jixiang, Fan, Wentao
Format Journal Article
LanguageEnglish
Published Cogent 04.05.2021
Taylor & Francis Group
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