Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images | |
An T(安泰)1,2; Huo CL(霍春雷)1,2,3; Xiang SM(向世明)1,2; Pan CH(潘春洪)1,2 | |
刊名 | Remote Sensing |
2023-03 | |
卷号 | 15页码:1827 |
关键词 | scale-arbitrary super-resolution image representation satellite imagery |
英文摘要 | The advancements in image super-resolution technology have led to its widespread use in remote sensing applications. However, there is currently a lack of a general solution for the reconstruction of satellite images at arbitrary resolutions. The existing scale-arbitrary super-resolution methods are primarily predicated on learning either a discrete representation (DR) or a continuous representation (CR) of the image, with DR retaining the sensitivity to resolution and CR guaranteeing the generalization of the model. In this paper, we propose a novel image representation that combines the discrete and continuous representation, known as CDCR, which enables the extension of images to any desired resolution in a plug-and-play manner. CDCR consists of two components: a CR-based dense prediction that gathers more available information and a DR-based resolution-specific refinement that adjusts the predicted values of local pixels. Furthermore, we introduce a scale cumulative ascent (SCA) method, which enhances the performance of the dense prediction and improves the accuracy of the generated images at ultra-high magnifications. The efficacy and dependability of CDCR are substantiated by extensive experiments conducted on multiple remote sensing datasets, providing strong support for scenarios that require accurate images. |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/54533] |
专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
通讯作者 | Huo CL(霍春雷) |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.School of Automation and Electrical Engineering, University of Science and Technology |
推荐引用方式 GB/T 7714 | An T,Huo CL,Xiang SM,et al. Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images[J]. Remote Sensing,2023,15:1827. |
APA | An T,Huo CL,Xiang SM,&Pan CH.(2023).Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images.Remote Sensing,15,1827. |
MLA | An T,et al."Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images".Remote Sensing 15(2023):1827. |
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