一種基于參數更新的機載SAR圖像目標定位方法

吳元

doi:10.11999/JEIT180564

一種基于參數更新的機載SAR圖像目標定位方法

doi: 10.11999/JEIT180564 cstr: 32379.14.JEIT180564

吳元^,

中國西南電子技術研究所 ??成都 ??610036

詳細信息

作者簡介:
吳元：男，1987年生，工程師，研究方向為合成孔徑雷達成像與圖像處理

通訊作者:
吳元　wuyuaner@126.com

中圖分類號: TN957.5
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- 文章訪問數: 2245
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- 被引次數: 0
出版歷程
- 收稿日期: 2018-06-08
- 修回日期: 2018-12-25
- 網絡出版日期: 2019-01-02
- 刊出日期: 2019-05-01

An Airborne SAR Image Target Location Algorithm Based on Parameter Refining

Yuan WU^,

Southwest China Institute of Electronic Technology, Chengdu 610036, China

摘要

摘要:
目標定位精度是機載合成孔徑雷達(SAR)系統(tǒng)的一項重要技術指標，因此機載SAR圖像目標定位具有重要的應用價值。在基于距離-多普勒模型的SAR圖像目標定位方法中，載機運動參數的精度會直接影響定位的精度，在機載平臺導航精度受限的情況下，定位精度會受到很大影響。因此，該文提出一種基于距離-多普勒模型參數更新的機載SAR圖像目標定位方法，利用機載SAR圖像與基準圖像匹配得到的匹配點來對載機運動參數進行更新，提高參數的精度，進而提高定位的精度。實驗證明了該方法的有效性。
- 合成孔徑雷達 /
- 距離-多普勒模型 /
- SAR圖像定位
Abstract:
The target location accuracy is an important technical parameter of airborne SAR system, thus the target location of airborne SAR image is important for application. The precision of the moving parameters directly influences the precision of the SAR image target location algorithm based on the Range-Doppler (RD) model. The locating accuracy is greatly affected if the navigation accuracy of the airborne platform is limited. To solve this problem, an airborne SAR image target location algorithm based on RD model parameter refining is proposed. Using the matching points of airborne SAR image matching with the reference image, the moving parameters are refined with better accuracy, and the locating accuracy is improved. The experiments show that the proposed algorithm is effective.
- SAR /
- Range-Doppler (RD) model /
- SAR image location

HTML全文

圖 1 機載SAR圖像目標定位方法流程圖

下載: 全尺寸圖片幻燈片

圖 2 機載SAR圖像和光學基準圖像

下載: 全尺寸圖片幻燈片

圖 3 6個目標放大后的圖像

下載: 全尺寸圖片幻燈片

表 1 定位結果與誤差

	目標1	目標2	目標3	目標4	目標5	目標6
真實位置	(109.533047°, 34.834823°, 374 m)	(109.540250°, 34.833684°, 360 m)	(109.546419°, 34.836492°, 370 m)	(109.545977°, 34.823204°, 364 m)	(109.531886°, 34.820393°, 375 m)	(109.534006°, 34.833703°, 369 m)
RD方法結果	(109.532502°, 34.835272°, 375 m)	(109.539727°, 34.834130°, 354 m)	(109.545901°, 34.836621°, 372 m)	(109.545668°, 34.823400°, 372 m)	(109.531688°, 34.820907°, 359 m)	(109.533567°, 34.834173°, 361 m)
RD方法誤差(m)	63.05	60.74	57.96	35.29	29.27	51.98
本文方法結果	(109.532917°, 34.834972°, 372 m)	(109.540145°, 34.833778°, 360 m)	(109.546375°, 34.836374°, 372 m)	(109.545927°, 34.823166°, 364 m)	(109.531866°, 34.820466°, 375 m)	(109.533968°, 34.833748°, 372 m)
本文方法誤差(m)	15.52	12.23	6.60	5.78	3.49	4.50

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