Remote sensing scene classification using multi-domain sematic high-order network

Author:

Lu Yuanyuan,Zhu Yanhui,Feng Hao,Liu Yang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference56 articles.

1. Remote sensing scene classification using multilayer stacked covariance pooling;He;IEEE Trans. Geosci. Remote Sens.,2018

2. Le-beit: A local enhanced self-supervised transformer for semantic segmentation of high resolution remote sensing images;Huang,2022

3. Maskformer with improved encoder-decoder module for semantic segmentation of fine-resolution remote sensing images;Li,2022

4. Double discriminative constraints-based affine nonnegative representation for few-shot remote sensing scene classification;Yuan;IEEE Geosci. Remote Sens. Lett.,2023

5. Remote sensing image scene classification via regional growth-based key area fine location and multilayer feature fusion;Li;IEEE Geosci. Remote Sens. Lett.,2022

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SCECNet: self-correction feature enhancement fusion network for remote sensing scene classification;Earth Science Informatics;2024-07-13

2. Remote sensing image scene recognition based on densenet-169;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

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