發(fā)布時(shí)間：2018-03-30 17:20

  本文選題：SAR　切入點(diǎn)：多波段多極化　出處：《系統(tǒng)仿真學(xué)報(bào)》2017年10期

【摘要】：利用Creator建立目標(biāo)模型,Vega的TMM工具進(jìn)行紋理材質(zhì)映射,基于視景仿真技術(shù)建立了多波段多極化SAR圖像數(shù)據(jù)庫。設(shè)計(jì)了融合遺傳算法和二值粒子群的混合智能優(yōu)化算法,對(duì)SAR圖像的波段極化組合方式進(jìn)行優(yōu)化;基于未矯正和矯正后的圖像分別提取Zernike矩、Gabor小波系數(shù)等構(gòu)成候選特征序列,進(jìn)行了多波段多極化SAR圖像特征選擇實(shí)驗(yàn)。實(shí)驗(yàn)結(jié)果表明,采用仿真技術(shù)建立SAR圖像數(shù)據(jù)庫是進(jìn)行多波段多極化SAR圖像識(shí)別的一種有效手段;采用優(yōu)化后的特征集合能夠提高多波段多極化SAR圖像的識(shí)別率。
[Abstract]:Creator is used to build the target model TMM tool for texture texture mapping, and the multi-band and multi-polarization SAR image database is established based on scene simulation technology.A hybrid intelligent optimization algorithm based on genetic algorithm (GA) and binary particle swarm optimization (BPSO) is designed to optimize the band polarization combination of SAR images, and based on the uncorrected and corrected images, Zernike moment Gabor wavelet coefficients and other candidate feature sequences are extracted, respectively.The feature selection experiment of multi-band and multi-polarization SAR image is carried out.The experimental results show that the establishment of SAR image database by simulation technique is an effective method for multi-band multi-polarization SAR image recognition, and the recognition rate of multi-band and multi-polarization SAR image can be improved by using the optimized feature set.
【作者單位】： 杭州電子科技大學(xué)通信信息傳輸與融合技術(shù)國(guó)防重點(diǎn)學(xué)科實(shí)驗(yàn)室;杭州電子科技大學(xué)生命信息與儀器工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(61174024,61372024) 浙江省自然科學(xué)基金(LQ13F050010)
【分類號(hào)】：TN957.52
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本文編號(hào)：1686867