LPNet: A remote sensing scene classification method based on large kernel convolution and parameter fusion

Abstract Remote sensing scene images contain numerous feature targets with unrelated semantic information, so how to extract to the local key information and semantic features of the image becomes the key to achieving accurate classification. Existing Convolutional Neural Networks (CNNs) mostly conc...

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Detalhes bibliográficos

Principais autores:	Guowei Wang, Furong Shi, Xinyu Wang, Haixia Xu, Liming Yuan, Xianbin Wen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-07-01
coleção:	IET Image Processing
Assuntos:	computer vision convolutional neural nets image classification remote sensing
Acesso em linha:	https://doi.org/10.1049/ipr2.13107
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