模糊激光遥感图像关键角点特征检测系统

Key corner feature detection system of fuzzy laser remote sensing image

针对传统模糊激光遥感图像特征检测过程未对外界干扰进行处理,导致检测耗时较长、检测准确性较低的问题,设计并提出了一种模糊激光遥感图像关键角点特征检测系统。从硬件部分和软件部分两方面进行分析,硬件部分主要由具有可变增益功能的放大电路模块、A/D转换模块、特征识别模块、MCU单片机控制模块构成;软件部分,首先利用小波分析对模糊激光遥感图像角点特征信息进行融合,提高图像角点特征识别能力,其次对模糊激光遥感图像进行滤波处理,降低外界干扰因素的影响,最后对激光遥感图像关键角点特征进行检测,完成系统设计。实验结果表明,该系统的检测耗时远远低于其他系统,且输出图像的峰值信噪比高于其它2种传统方法12.7%和21.8%,表明该系统具有良好的性能。

Aiming at the problem that the traditional fuzzy laser remote sensing image feature detection process does not deal with the external interference,which leads to longer time and the lower accuracy,a key corner feature detection system of fuzzy laser remote sensing image is designed and proposed.The hardware part is mainly composed of the amplifier circuit module with variable gain function,the conversion module,the feature recognition module and the single chip microcomputer control module.The software part,firstly,the corner feature information of fuzzy laser remote sensing image is fused by wavelet analysis,and the recognition ability of corner feature is improved.Secondly,the fuzzy laser remote sensing image is analyzed.Filtering and processing can reduce the influence of external interference factors.Finally,the key corner features of laser remote sensing image are detected and the system design is completed.The experimental results show that the detection time of the system is much lower than that of other systems and the PSNR of the output image is higher than that of the traditional methods by 12.7%and 21.8%respectively.It shows that the system has good performance.