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Adaptive Deep Co-occurrence Feature Learning based on Classifier-Fusion for Remote Sensing Scene Classification

机译：基于分类器融合的自适应深度共同发生特征学习，用于遥感场景分类

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Ronald Tombe; Serestina Viriri;
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1. Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification [J] . Ronald Tombe, Serestina Viriri Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2021,第1期

机译：基于分类器融合的自适应深度共同发生特征学习，用于遥感场景分类
2. Scene classification from remote sensing images using mid-level deep feature learning [J] . Ni Kang, Wu Yiquan International journal of remote sensing . 2020,第3a4期

机译：使用中级深度学习的遥感图像从遥感图像分类
3. A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification [J] . Han Wei, Feng Ruyi, Wang Lizhe, ISPRS Journal of Photogrammetry and Remote Sensing . 2018,第NOVa期

机译：具有深度学习功能的半监督生成框架，用于高分辨率遥感影像场景分类
4. Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks [C] . Ronald Tombe, Serestina Viriri International Conference on Machine Learning for Networking . 2020

机译：基于深度剩余网络的有效特征学习的遥感场景分类
5. A wavelet-based approach to the classification of remotely-sensed images: A comparison of different feature sets in an urban environment. [D] . Chen, Jianhui. 2007

机译：基于小波的遥感图像分类方法：城市环境中不同特征集的比较。
6. Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification [O] . Biserka Petrovska, Eftim Zdravevski, Petre Lameski, 2020

机译：遥感中特征提取的深度学习 - 以空域分类为例
7. Retraction: Zhu R. et al. Attention-Based Deep Feature Fusion for the Scene Classification of High-Resolution Remote Sensing Images. Remote Sensing. 2019, 11(17), 1996 [O] . Ruixi Zhu, Li Yan, Nan Mo, 2020

机译：撤回：朱R.等。基于关注的高分辨率遥感图像场景分类的深度特征融合。遥感。 2019,11（17），1996年

Adaptive Deep Co-occurrence Feature Learning based on Classifier-Fusion for Remote Sensing Scene Classification

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