Extracting animal migration pattern from weather radar observation based on deep convolutional neural networks

Extracting animal migration pattern from weather radar observation based on deep convolutional neural networks

The weather radar can operate in all weathers and all time, and has a large coverage area. Besides monitoring the weather, the weather radar can receive other echoes including biological echoes. In order to utilise weather radar biological monitoring capability, recognising and classifying local ins...

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Bibliographic Details
Main Authors: Cheng Hu, Siwei Li, Rui Wang, Kai Cui, Dongli Wu, Shuqing Ma
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
neural nets
biometrics (access control)
image segmentation
meteorological radar
image classification
learning (artificial intelligence)
feature extraction
weather radar datasets
region growing method
radar reflectivity
fully convolutional network
pixel-wise classification method
bird echoes
local insect
weather radar biological monitoring capability
biological echoes
deep convolutional neural networks
weather radar observation
animal migration pattern
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0041

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0041

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