Masked Second-Order Pooling for Few-Shot Remote-Sensing Scene Classification

Few-shot remote-sensing scene classification (FSRSSC) is the task of categorizing remote-sensing images (RSIs) with insufficient labeled samples. This task becomes particularly challenging due to low intraclass similarity and high interclass similarity in RSIs. To overcome these challenges, we intro...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2024, Vol.21, p.1-5
Hauptverfasser:	Deng, Jianan, Wang, Qianli, Liu, Nanqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Convolution DropBlock Feature extraction Feature maps few-shot learning (FSL) Modules Prototypes Remote sensing remote-sensing image (RSI) remote-sensing scene classification (RSSC) Scene classification second-order pooling (SoP) Similarity Task analysis Training
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