NAS-HRIS: Automatic Design and Architecture Search of Neural Network for Semantic Segmentation in Remote Sensing Images

NAS-HRIS: Automatic Design and Architecture Search of Neural Network for Semantic Segmentation in Remote Sensing Images

The segmentation of high-resolution (HR) remote sensing images is very important in modern society, especially in the fields of industry, agriculture and urban modelling. Through the neural network, the machine can effectively and accurately extract the surface feature information. However, using th...

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Bibliographic Details
Main Authors: Mingwei Zhang, Weipeng Jing, Jingbo Lin, Nengzhen Fang, Wei Wei, Marcin Woźniak, Robertas Damaševičius
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
deep learning
high-resolution remote sensing
image segmentation
neural architecture search
neural network optimisation
urban monitoring
Online Access:https://www.mdpi.com/1424-8220/20/18/5292

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