A Deep Learning-Based Experiment on Forest Wildfire Detection in Machine Vision Course
Author:
Affiliation:
1. School of Engineering, Hangzhou Normal University, Hangzhou, China
2. School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China
3. College of Computer Science and Technology, Zhejiang University, Hangzhou, China
Funder
Zhejiang Provincial High-Education Teaching Reform Project
Zhejiang Provincial Educational Science Planning Project
AI Micro-Major Project
China Knowledge Centre for Engineering Sciences and Technology
Joint Funds of the Zhejiang Provincial Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10083121.pdf?arnumber=10083121
Reference40 articles.
1. Exploration on the Teaching Reform Measure for Machine Learning Course System of Artificial Intelligence Specialty
2. Real-Time Wildfire Detection via Image-Based Deep Learning Algorithm
3. Making computer vision accessible for undergraduates;spurlock;J Comput Sci Colleges,2017
4. Wildfire Detection From Multisensor Satellite Imagery Using Deep Semantic Segmentation
5. Connections of climate change and variability to large and extreme forest fires in southeast Australia
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