不同光照条件下遥感图像边缘检测方法研究

Research on the edge detection method of remote sensing image under different light conditions

开展遥感图像边缘检测时,若不能考虑不同光照条件对遥感图像的影响,会影响图像边缘检测时的检测精度,为提升图像检测效果,提出不同光照条件下遥感图像边缘检测方法研究。该方法首先分析不同光照条件下遥感图像影响因素,并对图像实施畸变校正、去噪等处理;使用图像的融合技术对图像实施模糊化处理,实现图像的增强降低光照条件对图像检测的影响;最后通过Zernike边缘检测方法识别图像边缘点,完成图像的边缘检测。实验结果表明,本方法在开展遥感图像边缘检测时,平均梯度为0.133,信息熵为4.213,检测时间为1.352 s。

When conducting the edge detection of remote sensing images,if the effects of different light conditions on remote sensing images cannot be considered,it will affect the detection accuracy during the edge of the image.In order to improve the image detection effect,the study of the edge detection method of the remote sensing image under different light conditions is proposed.This method first analyzes the influencing factors of remote sensing images under different light conditions,and processes the distortion of the image,de-no-noise,etc.;then the fusion technology of the image shall be fuzzy on the image to achieve the impact of the enhancement of the image and the reduction of light conditions on the image detection;Finally,identify the edge point of the image through the edge detection method of the Zernike,and complete the edge detection of the image.The experimental results show that the average gradient is 0.133,the information entropy is 4.213,and the detection time is 1.352 s.