红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2013年
6期
1448-1452
,共5页
葛明达%孙剑峰%王天骄%王骐
葛明達%孫劍峰%王天驕%王騏
갈명체%손검봉%왕천교%왕기
条纹管激光雷达%距离像%对比度调制%去噪
條紋管激光雷達%距離像%對比度調製%去譟
조문관격광뢰체%거리상%대비도조제%거조
streak tube imaging lidar%range image%contrast-modulation%denoising
激光雷达的距离像是雷达成像系统区别于其他的成像系统(如红外成像系统、可见光成像系统)所特有的信息,它是对目标精确识别、打击的基础。如何对距离像去噪直接决定了下一步目标定位、识别的精确性。针对雷达距离像的特点,提出了一种基于对比度调制方法对条纹管激光雷达的距离像去噪方法,通过提取距离像噪声的对比度信息,用其调制未经过去噪的距离像,从而得到距离像中的噪声图像,最后用未经过处理的距离像减去噪声图像,得到图像即为去噪后距离像。研究表明该方法去噪效果明显,在去噪的同时很好地保持了距离像的边缘信息,去噪后图像的信噪比明显提高,距离像的属性也没有改变,这是其他方法对距离像去噪所不具有的优点。
激光雷達的距離像是雷達成像繫統區彆于其他的成像繫統(如紅外成像繫統、可見光成像繫統)所特有的信息,它是對目標精確識彆、打擊的基礎。如何對距離像去譟直接決定瞭下一步目標定位、識彆的精確性。針對雷達距離像的特點,提齣瞭一種基于對比度調製方法對條紋管激光雷達的距離像去譟方法,通過提取距離像譟聲的對比度信息,用其調製未經過去譟的距離像,從而得到距離像中的譟聲圖像,最後用未經過處理的距離像減去譟聲圖像,得到圖像即為去譟後距離像。研究錶明該方法去譟效果明顯,在去譟的同時很好地保持瞭距離像的邊緣信息,去譟後圖像的信譟比明顯提高,距離像的屬性也沒有改變,這是其他方法對距離像去譟所不具有的優點。
격광뢰체적거리상시뢰체성상계통구별우기타적성상계통(여홍외성상계통、가견광성상계통)소특유적신식,타시대목표정학식별、타격적기출。여하대거리상거조직접결정료하일보목표정위、식별적정학성。침대뢰체거리상적특점,제출료일충기우대비도조제방법대조문관격광뢰체적거리상거조방법,통과제취거리상조성적대비도신식,용기조제미경과거조적거리상,종이득도거리상중적조성도상,최후용미경과처리적거리상감거조성도상,득도도상즉위거조후거리상。연구표명해방법거조효과명현,재거조적동시흔호지보지료거리상적변연신식,거조후도상적신조비명현제고,거리상적속성야몰유개변,저시기타방법대거리상거조소불구유적우점。
Lidar range image is particular information of lidar system that other imaging systems (such as IR imaging system and optical imaging system) can not provide. It is the foundation for precision target identification and attacking. How to denoise directly determines the accuracy of target recognition. According to the characteristics of the radar range image, a method was presented for streak tube imaging lidar based on contrast-modulation method. The noise contrast information of range image was extracted to modulate original image, so as to get noise image, and finally range image without processing was used to minus the noise image to get the image which was denoised. The research result shows that the effect of this denoising method is obvious and the edge information of range image also keeps intact. After denoising, the signal noise ratio (SNR) of the range image is significantly improved. The attributes of range image does not change. This is the advantage the other methods for range image denoising methods does not have.