聚束模式SAR連續(xù)缺失數(shù)據(jù)的高分辨成像方法
doi: 10.11999/JEIT150575 cstr: 32379.14.JEIT150575
基金項目:
國家自然科學基金(61301210, 61301212),航空科學基金(20132007001, 20142052020, 20142052021),江蘇省研究生培養(yǎng)創(chuàng)新工程(SJLX_0131)
High-resolution Imaging for Spotlight Mode SAR from Gapped-data
Funds:
The National Natural Science Foundation of China (61301210, 61301212), Aeronautical Science Foundation of China (20132007001, 20142052020, 20142052021), Innovation Project of Jiangsu Province (SJLX_0131)
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摘要: 目前基于缺失數(shù)據(jù)的幅度相位估計算法(GAPES)的SAR成像算法都沒有考慮距離徙動和相位誤差問題而導致圖像質(zhì)量下降。該文提出一種基于GAPES的聚束模式SAR方位向連續(xù)缺失數(shù)據(jù)的高分辨成像方法。在處理過程中,通過對連續(xù)缺失數(shù)據(jù)2維插值實現(xiàn)距離徙動校正,然后利用稀疏數(shù)據(jù)投影近似子空間跟蹤算法實現(xiàn)相位誤差補償,保證了圖像的分辨率。仿真和實測數(shù)據(jù)的處理結果證明了該方法的有效性。
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關鍵詞:
- 缺失數(shù)據(jù)的幅度和相位估計 /
- 距離向插值 /
- 方位向插值 /
- 距離徙動校正 /
- 投影近似子空間跟蹤
Abstract: The existing approaches with missing data for SAR by Gapped-data Amplitude and Phase EStimation (GAPES) ignore the range migration and phase error, which lead to the decrease of the imaging quality. An imaging method of gapped-data for spotlight mode SAR based on GAPES is presented. It can correct the range migration using two-dimensional interpolation, realize autofucus from sparse data by sparse project approximation subspace tracking algorithm, and ensure the resolution of the image. The simulations and real data processing results show the validity of the proposed approach. -
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