前视红外图像中海岸线与海天线的通用检测方法研究
|
摘要
海岸线与海天线检测作为前视红外成像型反舰导弹末制导技术中的关键技术,通常会受到岛岸、云层、亮带、条状波浪等多种因素干扰。为解决这一问题,提出了一种海岸线与海天线的通用检测方法。对原始图像构建积分图像,采用箱式滤波器来增强海岸线与海天线的边缘特征;逐行滑动统计矩形区域内像素的梯度显著性来确定海岸线与海天线潜在区域,通过潜在区域内逐列寻找显著性最大值点,并对所有的最大值点进行多项式迭代拟合,获得海岸线与海天线的准确位置;基于实际采集的前视红外海面场景图像对该方法进行了验证和分析。结果表明,通用检测方法能够克服岛岸、云层、亮带、条状波浪等复杂背景的干扰,实现海岸线与海天线的检测,场景适应性强,实时性好。
The coastline and sea-sky line detection is a key technology in the forward looking infrared( FLIR) terminal guidance technology of anti-ship missile,which is always interfered by island,cloud,bright band,strip wave and so on. A general detection method for coastline and sea-sky line is proposed.An integral image is constructed for the original image,and the box filter is used to enhance the edge features of coastline and sea-sky line. The gradient saliency of the pixels in the rectangular region is counted to determine the potential area of the coastline and sea-sky line. The points with maximum saliency are extracted in each column of the potential area and are used to obtain the locations of coastline and sea-sky line by polynomial iterative fitting. The proposed method is verified and analyzed based on the actual FLIR images of sea scene. The results show that the proposed method can overcome the interference of island,cloud,bright band,and strip wave to detect the coastline and sea-sky line. The proposed method has good scene adaptability and real-time performance.
The coastline and sea-sky line detection is a key technology in the forward looking infrared( FLIR) terminal guidance technology of anti-ship missile,which is always interfered by island,cloud,bright band,strip wave and so on. A general detection method for coastline and sea-sky line is proposed.An integral image is constructed for the original image,and the box filter is used to enhance the edge features of coastline and sea-sky line. The gradient saliency of the pixels in the rectangular region is counted to determine the potential area of the coastline and sea-sky line. The points with maximum saliency are extracted in each column of the potential area and are used to obtain the locations of coastline and sea-sky line by polynomial iterative fitting. The proposed method is verified and analyzed based on the actual FLIR images of sea scene. The results show that the proposed method can overcome the interference of island,cloud,bright band,and strip wave to detect the coastline and sea-sky line. The proposed method has good scene adaptability and real-time performance.
引文
[1]王兵学,雍杨,霍义华,等.基于纹理特征分析的海天线检测方法[J].红外技术,2013,35(1):42-46.WANG B X,YONG Y,HUO Y H,et al. Sea-sky-line detection algorithm based on texture analysis[J]. Infrared Technology,2013,35(1):42-46.(in Chinese)
[2]刘士建,吴滢跃,蔡能斌.低SNR海天线提取算法[J].红外与激光工程,2013,42(12):3491-3495.LIU S J,WU Y Y,CAI N B. Novel low-SNR sea-sky-line extraction algorithm[J]. Infrared and Laser Engineering. 2013,42(12):3491-3495.(in Chinese)
[3] KIM S,LEE J. Small infrared target detection by region-adaptive clutter rejection for sea-based infrared search and track[J]. Sensors,2014,14(7):13210-13242.
[4] ZOU R B,SHI C C. A sea-sky line identification algorithem based on shearlets for infrared image[J]. Advanced Materials Research,2013,846/847:1031-1035.
[5]梁世花,吴巍,李波,等.基于Seam Carving的海天线检测算法[J].红外与激光工程,2013,42(10):2817-2821.LIANG S H,WU W,LI B,et al. Sea-sky-line detection algorithm based on seam carving[J]. Infrared and Laser Engineering,2013,42(10):2817-2821.(in Chinese)
[6]王博,苏玉民,万磊,等.基于梯度显著性的水面无人艇的海天线检测方法[J].光学学报,2016,36(5):58-67.WANG B,SU Y M,WAN L,et al. Sea sky line detection method of unmanned surface vehicle based on gradient saliency[J]. Acta Optica Sinica,2016,36(5):58-67.(in Chinese)
[7]安博文,胡春暖,刘杰,等.基于Hough变换的海天线检测算法研究[J].红外技术,2015,37(3):196-199.AN B W,HU C N,LIU J,et al. Study of sea-sky-line detection algorithm based on Hough transform[J]. Infrared Technology,2015,37(3):196-199.(in Chinese)
[8]戴永寿,刘博文,李立刚,等.基于局部Otsu分割与Hough变换的海天线检测[J].光电工程,2018,48(7):57-65.DAI Y S,LIU B W,LI L G,et al. Sea-sky-line detection based on local Otsu segmentation and Hough transform[J]. Opto-Electronic Engineering,2018,48(7):57-65.(in Chinese)
[9]曾文静,万磊,张铁栋,等.基于海面可见光图像的海界线快速检测[J].光学学报,2012,32(1):82-89.ZENG W J,WAN L,ZHANG T D,et al. Fast detection of sea line based on the visible characteristics of marine images[J]. Acta Optica Sinica,2012,32(1):82-89.(in Chinese)
[10] TANG D,SUN G,WANFG D H. Research on infrared ship detection method in sea-sky background[C]∥Proceedings of the5th International Symposium on Photoelectronic Detection and Imaging. Beijing,China:SPIE,2013:165-189.
[11]孙熊伟,徐青山,蔡熠,等.基于边缘相位编码的复杂背景下海天线检测[J].光学学报,2017,37(11):86-94.SUN X W,XU Q S,CAI Y,et al. Sea sky line detection based on edge phase encoding in complicated background[J]. Acta Optica Sinica,2017,37(11):86-94.(in Chinese)
[2]刘士建,吴滢跃,蔡能斌.低SNR海天线提取算法[J].红外与激光工程,2013,42(12):3491-3495.LIU S J,WU Y Y,CAI N B. Novel low-SNR sea-sky-line extraction algorithm[J]. Infrared and Laser Engineering. 2013,42(12):3491-3495.(in Chinese)
[3] KIM S,LEE J. Small infrared target detection by region-adaptive clutter rejection for sea-based infrared search and track[J]. Sensors,2014,14(7):13210-13242.
[4] ZOU R B,SHI C C. A sea-sky line identification algorithem based on shearlets for infrared image[J]. Advanced Materials Research,2013,846/847:1031-1035.
[5]梁世花,吴巍,李波,等.基于Seam Carving的海天线检测算法[J].红外与激光工程,2013,42(10):2817-2821.LIANG S H,WU W,LI B,et al. Sea-sky-line detection algorithm based on seam carving[J]. Infrared and Laser Engineering,2013,42(10):2817-2821.(in Chinese)
[6]王博,苏玉民,万磊,等.基于梯度显著性的水面无人艇的海天线检测方法[J].光学学报,2016,36(5):58-67.WANG B,SU Y M,WAN L,et al. Sea sky line detection method of unmanned surface vehicle based on gradient saliency[J]. Acta Optica Sinica,2016,36(5):58-67.(in Chinese)
[7]安博文,胡春暖,刘杰,等.基于Hough变换的海天线检测算法研究[J].红外技术,2015,37(3):196-199.AN B W,HU C N,LIU J,et al. Study of sea-sky-line detection algorithm based on Hough transform[J]. Infrared Technology,2015,37(3):196-199.(in Chinese)
[8]戴永寿,刘博文,李立刚,等.基于局部Otsu分割与Hough变换的海天线检测[J].光电工程,2018,48(7):57-65.DAI Y S,LIU B W,LI L G,et al. Sea-sky-line detection based on local Otsu segmentation and Hough transform[J]. Opto-Electronic Engineering,2018,48(7):57-65.(in Chinese)
[9]曾文静,万磊,张铁栋,等.基于海面可见光图像的海界线快速检测[J].光学学报,2012,32(1):82-89.ZENG W J,WAN L,ZHANG T D,et al. Fast detection of sea line based on the visible characteristics of marine images[J]. Acta Optica Sinica,2012,32(1):82-89.(in Chinese)
[10] TANG D,SUN G,WANFG D H. Research on infrared ship detection method in sea-sky background[C]∥Proceedings of the5th International Symposium on Photoelectronic Detection and Imaging. Beijing,China:SPIE,2013:165-189.
[11]孙熊伟,徐青山,蔡熠,等.基于边缘相位编码的复杂背景下海天线检测[J].光学学报,2017,37(11):86-94.SUN X W,XU Q S,CAI Y,et al. Sea sky line detection based on edge phase encoding in complicated background[J]. Acta Optica Sinica,2017,37(11):86-94.(in Chinese)