本文關(guān)鍵詞：偏振光譜圖像去霧技術(shù)研究　出處：《光譜學(xué)與光譜分析》2017年08期 　論文類型：期刊論文

  更多相關(guān)文章： 圖像去霧 光譜學(xué) 偏振 氣溶膠

【摘要】：空氣污染嚴(yán)重影響了成像質(zhì)量,霧霾天氣下成像的對比度和分辨率下降。利用不同波段偏振光譜數(shù)據(jù)的圖像去霧研究國內(nèi)外尚未見報道;運用偏振光譜去霧技術(shù)對光譜數(shù)據(jù)立方體研究具有重要意義。在中重度霧霾天氣下,利用光譜儀,獲取了380~1 000nm的可見近紅外偏振光譜數(shù)據(jù),研究了450,550,650,750和850nm五個波長下偏振圖像和去霧結(jié)果。結(jié)果表明,波長對圖像目標(biāo)與背景的灰度差值影響顯著,去霧后圖像的灰度動態(tài)范圍和平滑度都有顯著提升;去霧后圖像遠(yuǎn)景對比度平均提升了5倍,其中450nm圖像對比度最低,但對比度提升量最大,提高了7.13倍;850nm圖像對比度最高,但對比度提升量最小,提高了3.86倍;去霧后不同波長圖像的灰度動態(tài)范圍均有明顯展寬,展寬范圍為13.5%~28.6%,而圖像近景動態(tài)范圍展寬為33.3%~44.0%。分析了圖像復(fù)原過程中可能出現(xiàn)的估計誤差,根據(jù)其產(chǎn)生機理提出了對大氣散射光的偏振度和無窮遠(yuǎn)處的大氣散射光強度的校正方法,并總結(jié)出了最佳校正系數(shù)的選取規(guī)律,對未知條件下的圖像去霧提出指導(dǎo)。通過斯托克斯參數(shù)從原始數(shù)據(jù)中提取偏振信息,基于大氣散射光與景物透射光偏振特性差異對圖像去霧,偏振光譜圖像去霧技術(shù)為光譜圖像去霧研究提供一種新手段,也為圖像去霧技術(shù)的發(fā)展提供一種新思路。
[Abstract]:Air pollution has seriously affected the imaging quality, and the contrast and resolution of the imaging are decreased in haze weather. The study of image defog using polarizing spectrum data of different bands has not been reported at home and abroad. It is very important to study the spectral data cube by using the polarizing spectrum de-fogging technique. In the moderate and severe haze weather, the visible near infrared polarized spectral data of 380 ~ 1 000 nm are obtained by using the spectrometer. The results of polarization image and defogging at 450,550,650,750 and 850 nm are studied. The results show that the wavelength has a significant effect on the gray difference between the target and the background. The dynamic range of gray level and smoothness of the image are improved significantly after fog removal. After fog removal, the contrast of the image is increased by an average of 5 times, and the contrast of 450 nm image is the lowest, but the contrast enhancement is the largest, which is 7.13 times. The contrast of 850nm image is the highest, but the contrast enhancement is the smallest, which increases 3.86 times. After fog removal, the dynamic range of gray level of different wavelength images is obviously broadened, and the range is 13.5- 28.6%. And the dynamic range of image close-range is 33.3 / 44.0. the possible estimation errors in the process of image restoration are analyzed. According to its generation mechanism, a correction method for the degree of polarization of atmospheric scattered light and the intensity of atmospheric scattering light at infinity is proposed, and the rule of selecting the best correction coefficient is summarized. The polarization information is extracted from the original data by Stokes parameters, and the image is de-fogged based on the difference of polarization characteristics between the atmospheric scattering light and the transmitted light of the scene. Polarizing spectral image de-fogging technology provides a new method for the research of spectral image de-fog, and also provides a new way of thinking for the development of image de-fogging technology.
【作者單位】： 中國科學(xué)院西安光學(xué)精密機械研究所中國科學(xué)院光譜成像技術(shù)重點實驗室;中國科學(xué)院大學(xué);
【基金】：國家自然科學(xué)基金項目(11327303,61405239,61501456)資助
【分類號】：O436.3;TP391.41
【正文快照】： 2.中國科學(xué)院大學(xué),北京100049引言目前嚴(yán)重的大氣污染導(dǎo)致霧霾問題不斷加重[1-2]。霧霾天氣下,大氣溶膠濃度顯著提升[3],氣溶膠粒子的散射會使景物光發(fā)生退化,嚴(yán)重影響了成像的對比度和分辨率,普通成像手段無法在霧霾天氣下獲取清晰圖像,給信息提取和解析帶來很大困難。偏振是

【相似文獻(xiàn)】

相關(guān)期刊論文 前1條

1 ;紅外與毫米波學(xué)報第二十卷年度索引(二○○一年)[J];紅外與毫米波學(xué)報;2001年06期

，

本文編號：1402432