不同云层背景中目标的识别

详细信息

Target recognization under different complicated background of cloud

1.
Institute of Laser Physics & Chemistry, Sichuan University, Chengdu 610064, China;
2.
Institute of Applied Electronic, CAEP, Mianyang 621900, China

摘要: 针对云层中目标的识别问题,选择Sobel算子对输入图像进行了边缘检测,并以计算机模拟光学相关运算给出了识别结果。结果显示,在积状云和层状云背景中的目标识别较容易,在波状云中的目标识别较难。背景强度较强,目标亮度过强或过弱,或采集器件等因素导致图像中输入图像模糊,也会影响目标的识别率。另外,强目标相关峰比较尖锐,信噪比较大。
- 目标识别 /
- 光学相关 /
- 边缘检测 /
- Sobel算子
Abstract: How to recognize targets under complicated background of cloud is studied in this paper by stimulating optical correlation. Some factors influencing recognition are calculated, such as the change of shape of cloud, target intensity, clearness or faintness of input image and so on. Simulation results show that targets can be found more easily in cumulus or stratus than in undulance cloud, because undulance cloud is more abrupt change in its intensity. The analyses also show that the clearer the input image is, the more easily the target is recognized;and the more intensive the target is, the more easily it is recognized.
- target recognition /
- optical correlation /
- edge detection /
- Sobel operator

[1]	VANDER L A.IEEE Trans Inf Theory,1964,IT10:139～145.
[2]	苏红军,陈学文,陈桢培 et al.光学学报,1996,16(1):92～95.
[3]	陈怀新,陈祯培,陈晓伟.中国激光,1998,A25(4):353～358.
[4]	陈鹤鸣,施伟华,贾小兵.中国激光,1999,A26(5):421～424.
[5]	成罡,金国藩,邬敏贤 et al.光学学报,1999,19(9):1237～1243.
[6]	汤传坤.光电工程,1995,22(5):1～6.
[7]	VIJAYA K B V K,SHI W,HENDRIX C.Opt Lett,1990,15(14):807～809.
[8]	何斌,马天予,王运坚 et al. Visual C++数字图像处理.北京:人民邮电出版社,2001.459～471.
[9]	章毓晋.图像分割.北京:科学出版社,2001.9～19.
[10]	MOYA A,ESTEVE-TABOADA J J,GARCIA J et al.Appl Opt,2000,39(29):5347～5352.
[11]	LI Y Zh,ROSEN J.Appl Opt,2000,39(8):1251～1259.

1.	王路达，吴伟冲，朱占达，白振旭，惠勇凌，雷訇，李强. 基于光谱合束的双波长输出Nd:YAG固体激光器. 红外与激光工程. 2024(01): 129-134 . 百度学术
2.	张思楠，白芳，麻云凤，杨学博，殷晨轩，程旺，周家玮，曹灿，郭广妍，赵鹏，樊仲维. 高斯和平顶分布纳秒激光诱导KTP晶体损伤. 半导体光电. 2022(05): 903-908 . 百度学术