关于遥感红外目标图像精准识别仿真研究

Research on Accurate Recognition and Simulation of Remote Sensing Infrared Target Image

对遥感红外目标图像进行精准识别,可以有效提高环境探测能力,在不同领域都有着极为广泛的应用。对遥感红外目标图像进行准确识别,需要对遥感图像局部区域进行滤波处理,增强图像细节,准确选取图像最佳尺度值,实现红外目标精准识别。传统方法识别红外目标,未考虑噪声对图像目标识别精度的影响,未进行图像最佳尺度值选取,导致目标识别准确度偏低。提出基于二进小波变换的遥感图像红外目标精准识别方法。对最大尺度低频子带遥感图像进行多尺度增强,计算出遥感图像的高频子带增益系数,得到增强后高频子带遥感图像,将遥感图像的低频子带与高频子带进行重构处理,得到遥感图像增强后的图像,通过对增强图像进行截断拉升,选取图像最佳尺度值,实现遥感图像红外目标精准识别。仿真实验结果证明,所提方法抗噪声干扰能力较强,可实现精准识别遥感红外目标图像的目的。

Accurate recognition of remote sensing infrared target images can effectively improve the ability of environmental detection and has been widely used in different fields. In order to recognize the infrared target image accurately,it is necessary to filter the local region of the remote sensing image,enhance the details of the image,select the best scale value of the image accurately,and realize the accurate recognition of the infrared target. The traditional method for infrared target recognition does not take into account the effect of noise on the accuracy of image target recognition,and does not select the best scale value of the image,which leads to the low accuracy of target recognition.A method for accurate recognition of infrared target in remote sensing image based on binary wavelet transform is proposed. Maximum scale low frequency subband telecontrol The high frequency subband gain coefficient of the remote sensing image is calculated,and the enhanced high frequency subband remote sensing image is obtained. The low frequency subband and the high frequency subband of the remote sensing image are reconstructed,and the enhanced image is obtained. By truncating and lifting the enhanced image and selecting the best scale value of the image,the infrared target recognition of remote sensing image is realized. The simulation results show that the proposed method has strong anti-noise ability and can accurately identify remote sensing infrared target images.