一種基于參數(shù)更新的機(jī)載SAR圖像目標(biāo)定位方法
doi: 10.11999/JEIT180564
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中國(guó)西南電子技術(shù)研究所 ??成都 ??610036
An Airborne SAR Image Target Location Algorithm Based on Parameter Refining
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Southwest China Institute of Electronic Technology, Chengdu 610036, China
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摘要:
目標(biāo)定位精度是機(jī)載合成孔徑雷達(dá)(SAR)系統(tǒng)的一項(xiàng)重要技術(shù)指標(biāo),因此機(jī)載SAR圖像目標(biāo)定位具有重要的應(yīng)用價(jià)值。在基于距離-多普勒模型的SAR圖像目標(biāo)定位方法中,載機(jī)運(yùn)動(dòng)參數(shù)的精度會(huì)直接影響定位的精度,在機(jī)載平臺(tái)導(dǎo)航精度受限的情況下,定位精度會(huì)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(shù)更新的機(jī)載SAR圖像目標(biāo)定位方法,利用機(jī)載SAR圖像與基準(zhǔn)圖像匹配得到的匹配點(diǎn)來(lái)對(duì)載機(jī)運(yùn)動(dòng)參數(shù)進(jìn)行更新,提高參數(shù)的精度,進(jìn)而提高定位的精度。實(shí)驗(yàn)證明了該方法的有效性。
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關(guān)鍵詞:
- 合成孔徑雷達(dá) /
- 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.
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Key words:
- SAR /
- Range-Doppler (RD) model /
- SAR image location
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表 1 定位結(jié)果與誤差
目標(biāo)1 目標(biāo)2 目標(biāo)3 目標(biāo)4 目標(biāo)5 目標(biāo)6 真實(shí)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(jié)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(jié)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 下載: 導(dǎo)出CSV
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