一種基于時(shí)域分解的ISAR圖像理解與處理方法
A method of understanding and processing isar lmage based on time-frequency analysis
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摘要: 逆合成孔徑雷達(dá)(ISAR)圖像的自動(dòng)理解是應(yīng)用其進(jìn)行自動(dòng)目標(biāo)識(shí)別(ATR)的基礎(chǔ)。文中提出一種基于改進(jìn)的自適應(yīng)高斯表示(AGR)的ISAR圖像理解與處理方法。該方法對(duì)目標(biāo)ISAR圖像中點(diǎn)散射與非點(diǎn)散射效應(yīng)并存的現(xiàn)象給以有效的參數(shù)化的描述,進(jìn)而消除非點(diǎn)散射在圖像中造成的模糊展布,并提取到可用于目標(biāo)識(shí)別的成像目標(biāo)散射中心特征?；陲w機(jī)目標(biāo)實(shí)測(cè)數(shù)據(jù)的實(shí)驗(yàn)驗(yàn)證了該方法的有效性。
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關(guān)鍵詞:
- 逆合成孔徑雷達(dá); 時(shí)頻分析; 散射中心
Abstract: The basic and major difficulty in Automatic Target Recognition(ATR) based on the Inverse Synthetic Aperture Radar (ISAR) image is to automatically understand the ISAR images. A method of understanding and processing ISAR image is presented, which is based on the time-frequency analysis algorithm - improved Adaptive Guassian Representation(AGR). By parameterizing the point-scattering and dispersive-scattering mechanisms exiting in the target ISAR image, the dispersive-scattering effect is removed to improve the image quality, and extract features of scattering centers on the target which is useful to ATR. The efficiency and feasibility of the method is confirmed by the test, based on the real data of airplane. -
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