Atomic-free optimization on GPU based SAR raw data simulation

Xiaojie Yao, Chen Hu, Fan Zhang, Wei Hu, Wei Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

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摘要

Synthetic Aperture Radar (SAR) has been widely used in airborne remote sensing and satellite ocean observation fields to reduce the affect of weather condition and sun illumination. As technology developed, swath and resolution requirements are increased in terrain, which result in a huge increase in echo data and simulated time[1]. With the development of graphics processing unit (GPU), it can reduce simulated time effectively. In order to simulate the coherent integration, atomic operation is always used in GPU, which has a bad influence to simulated time. To optimize simulated time, in this article, we put forward three GPU optimistic strategies for atomic-free SAR raw data simulation.

源语言英语
主期刊名2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
645-648
页数4
ISBN(电子版)9781509033324
DOI
出版状态已出版 - 1 11月 2016
已对外发布
活动36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, 中国
期限: 10 7月 201615 7月 2016

出版系列

姓名International Geoscience and Remote Sensing Symposium (IGARSS)
2016-November

会议

会议36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
国家/地区中国
Beijing
时期10/07/1615/07/16

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引用此

Yao, X., Hu, C., Zhang, F., Hu, W., & Li, W. (2016). Atomic-free optimization on GPU based SAR raw data simulation. 在 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (页码 645-648). 文章 7729162 (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2016.7729162