Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation
文献类型：期刊论文
| 作者 | Ma, Yan1; Chen, Lajiao1; Liu, Peng1; Lu, Ke1 |
| 刊名 | Computing
 |
| 出版日期 | 2016 |
| 卷号 | 98期号:1-2页码:7-33 |
| 关键词 | RECOGNITION |
| 通讯作者 | Liu, Peng (pliu@ceode.ac.cn) |
| 英文摘要 | Remote sensing image processing is characterized with features of massive data processing, intensive computation, and complex processing algorithms. These characteristics make the rapid processing of remote sensing images very difficult and inefficient. The rapid development of general-purpose graphic process unit (GPGPU) computing technology has resulted in continuous improvement in GPU computing performance. Its strong floating point calculating capability, high intensive computation, small volume, and excellent performance-cost ratio provide an effective solution to the problems faced in remote sensing image processing. However, current usage of GPU in remote sensing image processing applications has been limited to specific parallel algorithms and their optimization of processes, rather than formed well-established models and methods. This has introduced serious problems to the development of remote sensing image processing algorithms on GPU architectures. For example, GPU parallel strategies and algorithms are highly coupled and non-reusable. The processing system is closely associated with the GPU hardware so that programming for remote sensing algorithms on GPU is nothing but easy. In this paper, we attempt to explore a reusable GPU-based remote sensing image parallel processing model and to establish a set of parallel programming templates, which provides programmers with a more simple and effective way for programming parallel remote sensing image processing algorithms. © 2014, Springer-Verlag Wien. |
| 学科主题 | Computer Science |
| 类目[WOS] | Computer Science, Theory & Methods |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20143600056084 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39383]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing, China 2. University of Chinese Academy of Sciences, Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, China |
| 推荐引用方式 GB/T 7714 | Ma, Yan,Chen, Lajiao,Liu, Peng,et al. Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation[J]. Computing,2016,98(1-2):7-33. |
| APA | Ma, Yan,Chen, Lajiao,Liu, Peng,&Lu, Ke.(2016).Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation.Computing,98(1-2),7-33. |
| MLA | Ma, Yan,et al."Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation".Computing 98.1-2(2016):7-33. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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