HLAE-Net: A Hierarchical Lightweight Attention-Enhanced Strategy for Remote Sensing Scene Image Classification

Remote sensing scene image classification has extensive application scenarios in fields such as land use monitoring and environmental assessment. However, traditional methodologies based on convolutional neural networks (CNNs) face considerable challenges caused by uneven image quality, imbalanced s...

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書誌詳細

出版年:	Remote Sensing
主要な著者:	Mingyuan Yang, Cuiping Shi, Kangning Tan, Haocheng Wu, Shenghan Wang, Liguo Wang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-09-01
主題:	remote sensing scene image classification feature extraction uneven image quality lightweight
オンライン･アクセス:	https://www.mdpi.com/2072-4292/17/19/3279