Integrated technique of segmentation and classification methods with connected components analysis for road extraction from orthophoto images
Author:
Funder
University of Technology Sydney
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference52 articles.
1. Quantitative remote sensing at ultra-high resolution with uav spectroscopy: A review of sensor technology, measurement procedures, and data correction workflows;Aasen;Remote Sensing,2018
2. Investigation of SVM and level set interactive methods for road extraction from google earth images;Abdollahi;Journal of the Indian Society of Remote Sensing,2018
3. Extraction of road features from UAV images using a novel level set segmentation approach;Abdollahi;International Journal of Urban Sciences,2019
4. Deep learning approaches applied to remote sensing datasets for road extraction: A state-of-the-art teview;Abdollahi;Remote Sensing,2020
5. Analysis of maximum likelihood classification on multispectral data;Ahmad;Applied Mathematical Sciences,2012
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