光子学报, 2020, 49 (5): 0510002, 网络出版: 2020-06-04   

基于深度多分支特征融合网络的光学遥感场景分类

Remote Sensing Image Scene Classification Based on Deep Multi-branch Feature Fusion Network
作者单位
1 陕西科技大学 电气与控制工程学院, 西安 710021
2 西北工业大学 无人系统技术研究院, 西安 710072
3 陆军装备部 装备技术合作中心, 北京 100000
引用该论文

张桐, 郑恩让, 沈钧戈, 高安同. 基于深度多分支特征融合网络的光学遥感场景分类[J]. 光子学报, 2020, 49(5): 0510002.

ZHANG Tong, ZHENG En-rang, SHEN Jun-ge, GAO An-tong. Remote Sensing Image Scene Classification Based on Deep Multi-branch Feature Fusion Network[J]. ACTA PHOTONICA SINICA, 2020, 49(5): 0510002.

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张桐, 郑恩让, 沈钧戈, 高安同. 基于深度多分支特征融合网络的光学遥感场景分类[J]. 光子学报, 2020, 49(5): 0510002. ZHANG Tong, ZHENG En-rang, SHEN Jun-ge, GAO An-tong. Remote Sensing Image Scene Classification Based on Deep Multi-branch Feature Fusion Network[J]. ACTA PHOTONICA SINICA, 2020, 49(5): 0510002.

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