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Azimuth ambiguity suppression based on minimum mean square error estimation

  • Youming Wu
  • , Ze Yu
  • , Peng Xiao
  • , Chunsheng Li
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

An innovative algorithm to suppress the strong azimuth ambiguity in single-look complex (SLC) synthetic aperture radar (SAR) images is presented. The basic idea is to construct a subspace with low ambiguous power and project the original image to the aforementioned subspace to suppress the azimuth ambiguity by the minimum mean square error estimation (MMSE). Compared with most traditional approaches, the proposed one is suitable for any distributed scene and any acquisition mode. Moreover, the proposed approach seems to keep the resolution in a reasonable level and not rely on the system parameters extremely. Raw data from the TerraSAR-X have been used to validate the effect of the azimuth ambiguity suppression by using the new approach.

源语言英语
主期刊名2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
2425-2428
页数4
ISBN(电子版)9781479979295
DOI
出版状态已出版 - 10 11月 2015
活动IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, 意大利
期限: 26 7月 201531 7月 2015

出版系列

姓名International Geoscience and Remote Sensing Symposium (IGARSS)
2015-November

会议

会议IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
国家/地区意大利
Milan
时期26/07/1531/07/15

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