基于深度学习的多帧遥感降质图像三维重建算法OACSTPCD
A deep learning based 3D reconstruction algorithm for multiframe degraded remote sensing images
为提升多帧遥感降质图像对比度以及图像质量,提出一种基于深度学习的多帧遥感降质图像三维重建算法.采用三角函数变换方法并结合高通滤波器,增强多帧遥感降质图像对比度;再以包含生成器和判别器的生成对抗网络为基础,在判别器中引入自注意力层,设计自注意力机制残差模块,生成自注意力生成对抗网络模型;最后将增强后的图像输入模型进行学习和训练,获取多帧遥感降质图像的全局特征后,实现多帧遥感降质图像三维重建.测试结果表明,所提算法具有较好的多帧遥感降质图像增强能力,…查看全部>>
In order to improve the contrast and image quality of multiframe degraded remote sensing images,a deep learning based 3D reconstruction algorithm for multiframe degraded remote sensing images is proposed.The trigonometric function transformation method combined with high pass filter is used to enhance the contrast of multiframe degraded remote sensing images.Based on a generative adversarial network that includes generators and discriminators,a self attentio…查看全部>>
石力源
杭州电子科技大学, 浙江 杭州 310018
电子信息工程
多帧遥感图像降质图像深度学习三维重建图像增强生成对抗网络自注意力层全局特征
multi frame remote sensing imagesdegraded imagesdeep learning3D reconstructionimage enhancementgenerative adversarial networkself attention layerglobal features
《现代电子技术》 2024 (6)
161-164,4
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