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WSGAN: An Improved Generative Adversarial Network for Remote Sensing Image Road Network Extraction by Weakly Supervised Processing

机译：Wsgan：通过弱监督处理改进的遥感图像道路网络提取的生成的对抗网络

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Anna Hu; Siqiong Chen; Liang Wu; Zhong Xie; Qinjun Qiu; Yongyang Xu;
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1. ECGAN: An Improved Conditional Generative Adversarial Network With Edge Detection to Augment Limited Training Data for the Classification of Remote Sensing Images With High Spatial Resolution [J] . Baikai Sui, Tao Jiang, Zhen Zhang, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2021,第1期

机译：ECGAN：一种改进的条件生成对冲网络，具有边缘检测，以增加具有高空间分辨率的遥感图像的分类限制训练数据
2. Multispectral Remote Sensing Image Matching via Image Transfer by Regularized Conditional Generative Adversarial Networks and Local Feature [J] . Tao Ma, Jie Ma, Kun Yu, IEEE Geoscience and Remote Sensing Letters . 2021,第2期

机译：通过正则化条件生成对策网络和本地特征通过图像传输匹配多光谱遥感图像
3. Evaluating generative adversarial networks based image-level domain transfer for multi-source remote sensing image segmentation and object detection [J] . Li Xue, Luo Muying, Ji Shunping, International journal of remote sensing . 2020,第19a20期

机译：基于多源遥感图像分割和对象检测的基于生成的对抗网络级域传输的基于生成的对抗网络传输
4. Semi-Supervised Object Detection in Remote Sensing Images Using Generative Adversarial Networks [C] . Guowei Chen, Lei Liu, Wenlong Hu, IEEE International Geoscience and Remote Sensing Symposium . 2018

机译：基于生成对抗网络的遥感影像半监督目标检测
5. Improving Generative Adversarial Networks with Image Quality Assessment [D] . Perkins-Ollila, Justin. 2021

机译：改善具有图像质量评估的生成对抗网络
6. Remote Sensing Image Dataset Expansion Based on Generative Adversarial Networks with Modified Shuffle Attention [O] . Lu Chen, Hongjun Wang, Xianghao Meng 2021

机译：遥感图像数据集扩展基于生成的对冲网络改进的洗牌注意
7. An Ensemble Wasserstein Generative Adversarial Network Method for Road Extraction From High Resolution Remote Sensing Images in Rural Areas [O] . Chuan Yang, Zhenghong Wang 2020

机译：农村高分辨率遥感图像的道路提取合奏瓦斯斯坦生成普遍网络方法

WSGAN: An Improved Generative Adversarial Network for Remote Sensing Image Road Network Extraction by Weakly Supervised Processing

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