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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Autors principals:	Guowei Wang, Furong Shi, Xinyu Wang, Haixia Xu, Liming Yuan, Xianbin Wen
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2024-07-01
Col·lecció:	IET Image Processing
Matèries:	computer vision convolutional neural nets image classification remote sensing
Accés en línia:	https://doi.org/10.1049/ipr2.13107
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