An object-oriented method for road damage detection from high resolution remote sensing images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5961996/5980662/05981141.pdf?arnumber=5981141
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Detection of Spatial Objects Using Remotely Sensed Images;2023 7th International Conference on Design Innovation for 3 Cs Compute Communicate Control (ICDI3C);2023-11-02
2. Extraction of road blockage information for the Jiuzhaigou earthquake based on a convolution neural network and very-high-resolution satellite images;Earth Science Informatics;2019-11-26
3. Method for detecting road pavement damage based on deep learning;Health Monitoring of Structural and Biological Systems XIII;2019-04-01
4. Hierarchical graph-based segmentation for extracting road networks from high-resolution satellite images;ISPRS Journal of Photogrammetry and Remote Sensing;2017-04
5. A New Neuro-Fuzzy Approach for Post-earthquake Road Damage Assessment Using GA and SVM Classification from QuickBird Satellite Images;Journal of the Indian Society of Remote Sensing;2017-03-06
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