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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Published in | Canadian journal of remote sensing Vol. 47; no. 3; pp. 465 - 484 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Cogent
04.05.2021
Taylor & Francis Group |
Online Access | Get full text |
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