Preliminary Study of Urban Land Use Classification Using Historical Aerial Photos and AI Technology
Author:
Affiliation:
1. Univ. of New Brunswick,Dept. Geodesy & Geomatics Engineering,Fredericton,Canada
2. Univ. of New Brunswick,Department of History,Fredericton,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10144111/10144082/10144084.pdf?arnumber=10144084
Reference12 articles.
1. A New Approach to High-Resolution Urban Land Use Classification Using Open Access Software and True Color Satellite Images
2. Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector Machine Algorithms for Object-Based Urban Land Use/Land Cover Classification
3. Semantic labeling in very high resolution images via a self-cascaded convolutional neural network
4. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015
5. The National Air Photo Library
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