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Unsupervised pavement crack image classification by fusing improved AlexNet network and adaptive faster density peak clustering

Ju Huyan Wei Li Adnan Khan Yingjie Zhang

交通运输工程学报(英文版)2026,Vol.13Issue(4):1147-1166,20.
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交通运输工程学报(英文版)2026,Vol.13Issue(4):1147-1166,20.DOI:10.1016/j.jtte.2025.07.005

Unsupervised pavement crack image classification by fusing improved AlexNet network and adaptive faster density peak clustering

Unsupervised pavement crack image classification by fusing improved AlexNet network and adaptive faster density peak clustering

Ju Huyan 1Wei Li 2Adnan Khan 3Yingjie Zhang2

作者信息

  • 1. School of Pipeline Engineering,Xi'an Shiyou University,Xi'an 710065,China
  • 2. School of Information Engineering,Chang'an University,Xi'an 710064,China
  • 3. School of Transportation,Southeast University,Nanjing 211189,China
  • 折叠

摘要

关键词

Pavement crack classification/Unsupervised deep learning/AlexNet/Fast density peak clustering/Model fusion

Key words

Pavement crack classification/Unsupervised deep learning/AlexNet/Fast density peak clustering/Model fusion

引用本文复制引用

Ju Huyan,Wei Li,Adnan Khan,Yingjie Zhang..Unsupervised pavement crack image classification by fusing improved AlexNet network and adaptive faster density peak clustering[J].交通运输工程学报(英文版),2026,13(4):1147-1166,20.

基金项目

The authors of this research gratefully acknowledge the Na-tional Natural Science Foundation of China(52108403),Key Laboratory of Exploration and Development of Complex and Difficult-to-Produce Oil & Gas Reservoirs(Xi'an Shiyou Uni-versity),National Key R & D program of China(Grant Number:2021YFB2600604,2021YFB2600600).Fundamental Research Funds for the Central Universities,CHD(300102374902). (52108403)

交通运输工程学报(英文版)

2095-7564

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