Improved convolutional neural network in remote sensing image classification

The classification of land cover is the first step in the analysis and application of remote sensing data in land resources. How to solve the multi-category image recognition and meet certain precision is a key issue in remote sensing image research, which has very important theoretical significance...

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Vydáno v:	Neural computing & applications Ročník 33; číslo 14; s. 8169 - 8180
Hlavní autor:	Xu, Binghui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.07.2021 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Geomorphology Image classification Image Processing and Computer Vision Land cover Neural networks Object recognition Probability and Statistics in Computer Science Remote sensing S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications Special Issue on Intelligent Computing Methodologies in Machine learning for IoT Applications Weather Remote sensing image Image recognition Convolutional neural network Algorithm improvement Image classification
ISSN:	0941-0643, 1433-3058
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