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Fusion of Methods for the Classification of Remote Sensing Images from Urban Areas

机译：城市遥感影像分类方法的融合

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Mathieu Fauvel; Jocelyn Chanussot; Jon Atli Benediktsson;
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1. Decision Fusion for the Classification of Urban Remote Sensing Images [J] . Fauvel M., Chanussot J., Benediktsson J.A. IEEE Transactions on Geoscience and Remote Sensing. . 2006,第期

机译：城市遥感影像分类的决策融合
2. Fusion of Extreme Learning Machine and Graph-Based Optimization Methods for Active Classification of Remote Sensing Images [J] . Bencherif M.A., Bazi Y., Guessoum A., Geoscience and Remote Sensing Letters, IEEE . 2015,第3期

机译：极限学习机与基于图的优化方法的融合
3. A classification method of building structures based on multi-feature fusion of UAV remote sensing images [J] . Haoguo Du, Yanbo Cao, Fanghao Zhang, 中国地震研究（英文版） . 2021,第004期

机译：A classification method of building structures based on multi-feature fusion of UAV remote sensing images
4. Fusion of Methods for the Classification of Remote Sensing Images from Urban Areas [C] . Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benediktsson IEEE International Geoscience and Remote Sensing Symposium . 2005

机译：从城市地区遥感图像分类的方法融合
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. A Method for Application of Classification Tree Models to Map Aquatic Vegetation Using Remotely Sensed Images from Different Sensors and Dates [O] . Hao Jiang, Dehua Zhao, Ying Cai, 2012

机译：应用分类树模型通过来自不同传感器和日期的遥感图像绘制水生植被的方法
7. Decision fusion for the classification of urban remote sensing images [O] . Mathieu Fauvel, Student Member, Jocelyn Chanussot, 2016

机译：城市遥感影像分类的决策融合
8. Remote Sensing for Resilient Multi-Hazard Disaster Response. Volume III: Multi-Sensor Image Fusion Techniques for Robust Neighborhood-Scale Urban Damage Assessment [R] . Adams, B. J., McMillan, A. 2008

机译：遥感用于弹性多灾害灾害响应。第三卷：多传感器图像融合技术用于稳健的社区规模城市损害评估

Fusion of Methods for the Classification of Remote Sensing Images from Urban Areas

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