In recent years, small object detection in remote sensing images has been widely applied in many fields, yet it still faces several serious challenges. On one hand, small objects inherently have weak features and are easily disturbed by complex backgrounds. On the other hand, small objects in remote sensing images are...
Wen-Ping Ma, Zhen-Yu Hu, Hao Zhu et al.· IEEE Transactions on Geoscie...· 0 citations
In remote-sensing scene classification (RSSC), persistent challenges such as high interclass similarity and substantial intraclass diversity remain key obstacles to accurate recognition. Although vision Transformer (ViT) has demonstrated outstanding performance, it tends to smooth out high-frequency discriminative deta...
Hui-Hui Dong, Tong Wang, Zong-Fang Ma et al.· IEEE Transactions on Geoscie...· 0 citations
Joint classification of multispectral (MS) and panchromatic (PAN) imagery has achieved remarkable success, aiming to provide more detailed and accurate interpretations of ground objects. However, when labeled samples are insufficient, the generalization performance of deep learning-based methods can be significantly af...
Xiao-Tong Li, Wan-Ling Gao, Jia-Qi Si et al.· IEEE Transactions on Geoscie...· 0 citations
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