Extraction of Roads Using the Archimedes Tuning Process with the Quantum Dilated Convolutional Neural Network

Extraction of Roads Using the Archimedes Tuning Process with the Quantum Dilated Convolutional Neural Network

Road network extraction is a significant challenge in remote sensing (RS). Automated techniques for interpreting RS imagery offer a cost-effective solution for obtaining road network data quickly, surpassing traditional visual interpretation methods. However, the diverse characteristics of road netw...

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Bibliographic Details
Main Authors: Mohd Jawed Khan, Pankaj Pratap Singh, Biswajeet Pradhan, Abdullah Alamri, Chang-Wook Lee
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
road extraction
remote sensing
convolutional neural networks
dilated convolutions
quantum computing
Archimedes optimization algorithm
Online Access:https://www.mdpi.com/1424-8220/23/21/8783

Internet

https://www.mdpi.com/1424-8220/23/21/8783

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