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一種SAR分布目標(biāo)可分辨概率精確計(jì)算方法

王巖飛,  陳新星

王巖飛, 陳新星. 一種SAR分布目標(biāo)可分辨概率精確計(jì)算方法[J]. 電子與信息學(xué)報(bào), 2018, 40(12): 2848-2853. doi: 10.11999/JEIT180294
引用本文: 王巖飛, 陳新星. 一種SAR分布目標(biāo)可分辨概率精確計(jì)算方法[J]. 電子與信息學(xué)報(bào), 2018, 40(12): 2848-2853. doi: 10.11999/JEIT180294
Yanfei WANG, Xinxing CHEN. A Precise Method for Calculating the Resolution of SAR Distribution Targets[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2848-2853. doi: 10.11999/JEIT180294
Citation: Yanfei WANG, Xinxing CHEN. A Precise Method for Calculating the Resolution of SAR Distribution Targets[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2848-2853. doi: 10.11999/JEIT180294

一種SAR分布目標(biāo)可分辨概率精確計(jì)算方法

doi: 10.11999/JEIT180294
  • 1.

    中國科學(xué)院電子學(xué)研究所 ??北京 ??100190

  • 2.

    中國科學(xué)院大學(xué) ??北京 ??100049

基金項(xiàng)目: 國家自然科學(xué)基金(61471340)，國家重點(diǎn)研發(fā)計(jì)劃(2017YFB0503001)
詳細(xì)信息
    作者簡介:

    王巖飛：男，1963年生，研究員，博士生導(dǎo)師，主要研究方向?yàn)樾盘?hào)處理和合成孔徑雷達(dá)

    陳新星：男，1993年生，碩士生，研究方向?yàn)槲⒉ǔ上裣到y(tǒng)理論與技術(shù)

    通訊作者:

    陳新星　 chen_xinxing93@126.com

  • 中圖分類號(hào): TN958

A Precise Method for Calculating the Resolution of SAR Distribution Targets

  • 1.

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049, China

Funds: The National Natural Science Foundation of China (61471340), The National Key Research and Development Program (2017YFB0503001)
  • 摘要: 可分辨概率是用來衡量SAR分布目標(biāo)分辨特性的重要指標(biāo)。該文在細(xì)化目標(biāo)可分辨條件的基礎(chǔ)上，結(jié)合SAR分布目標(biāo)統(tǒng)計(jì)特性，提出一種新的目標(biāo)可分辨判斷準(zhǔn)則，給出一種可分辨概率精確計(jì)算方法。同時(shí)為了簡化計(jì)算，給出計(jì)算復(fù)雜度更小的近似計(jì)算方法。仿真結(jié)果表明，該文提出的可分辨概率計(jì)算方法符合實(shí)際情況，能夠更真實(shí)地反映SAR分布目標(biāo)統(tǒng)計(jì)特性對分辨特性的影響，可為SAR圖像質(zhì)量評估和系統(tǒng)參數(shù)設(shè)計(jì)等提供理論支撐。
    Abstract: The separable probability is a significant criterion to evaluate the resolution characteristics of SAR distribution targets. On the basis of refining the separable condition of targets and taking the statistic characteristic of SAR distribution targets into consideration, a new separable judgment criterion for targets is proposed, and a precise calculation method of the separable probability is deduced. Besides, in order to simplify the calculation, the approximate calculation method with less computational complexity is presented. It is shown in the simulation results that the proposed method is in accordance with the actual situation, which can reflect the effect of the statistic characteristic of SAR distribution target on the resolution characteristic, and can provide theoretical support for the SAR image quality evaluation and system parameter design.
    • HTML全文

  • 圖  1  兩個(gè)點(diǎn)目標(biāo)疊加信號(hào)圖

    圖  2  單視可分辨概率計(jì)算結(jié)果

    圖  3  2視可分辨概率計(jì)算結(jié)果

    圖  4  可分辨概率精確計(jì)算方法仿真結(jié)果

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    WANG Zheyuan, LI Yuanxiang, and YU Wenxian. A review of SAR image quality evaluation[J]. Remote Sensing Information, 2016, 31(5): 1–10 doi: 10.3969/j.issn.1000-3177.2016.05.001
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    王巖飛, 劉中梅. SAR分布目標(biāo)多視圖像分辨特性研究[J]. 電子與信息學(xué)報(bào), 2017, 39(10): 2294–2301 doi: 10.11999/JETI170118

    WANG Yanfei and LIU Zhongmei. Study on distributed targets resolution of multilook SAR image[J]. Journal of Electronics&Information Technology, 2017, 39(10): 2294–2301 doi: 10.11999/JETI170118
    MORANDEIRA N S, GRIMSON R, and KANDUS P. Assessment of SAR speckle filters in the context of object-based image analysis[J].Remote Sensing Letters, 2016, 7(2): 150–159 doi: 10.1080/2150704X.2015.1117153
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出版歷程
  • 收稿日期:  2018-03-28
  • 修回日期:  2018-08-13
  • 網(wǎng)絡(luò)出版日期:  2018-09-03
  • 刊出日期:  2018-12-01

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