搜索资源列表
Image-segmentation
- 一种基于图像分割和归一化灰度Hough变换的SAR图像舰船尾迹CFAR检测算法-Image segmentation based on gray scale and normalized Hough transform SAR ship wake image CFAR detection algorithm
Ship-detection
- 复杂杂波背景下，海面红外图像中舰船目标检测的关键是如何降低虚警、检测出真正的 目标。为了实现这个目标，首先利用Haar小波函数进行小波变换，对图像进行预处理；然后进行恒 虚警检测（CFAR）；第三步采用行程法对检测的目标进行标记；最后采用管道滤波法剔出虚假目标， 检测出真正的目标。经仿真实验证明，此方法能有效地降低虚警，在复杂杂波背景中检测出目标。 -The key of ship detection in sea infrared image with complex clut
CFAR
- 介绍了一种典型的ＣＦＡＲ检测算法，使用ｍａｔｌａｂ进行仿真-CFAR detecting algorithm
CFAR
- 用恒虚警算法CFAR实现海面sar图像目标检测的matlab代码-With the constant false alarm algorithm CFAR implementation to the surface of the SAR image target detection of matlab code
cfar_sarX_1
- 这是一个sar成像的算法，它融合了cfar的处理，使目标更加凸显。非常适合用于sar成像和cfar算法的研究。-This is a sar imaging algorithm, which combines cfar processing, the target is more prominent. Very suitable for research sar algorithm for imaging and cfar.
zhifangtu
- CFAR算法实现，利用OpenCV进行读取图像，然后根据CFAR算法的实现目标检测-A simple implement of CFAR algorithm
BIAS_cfar
- 结合SAR图像中像素点信息，提出了一种双边CFAR检测算法，可以大幅提高检测率。-Combined with the pixel information in SAR image, a bilateral CFAR detection algorithm is proposed, which can greatly improve the detection rate.
new_CFAR
- 针对海面舰船检测，构建K分布模型，提出了一种新的CFAR检测算法，可以成功检测出海面舰船。-A new CFAR detection algorithm is proposed to construct the K distribution model for the detection of sea ships and the ship can be detected successfully.
CFAR
- 利用CFAR检测SAR图像中的高亮度目标。(Detect targets with high backscattering intensities by CFAR algorithm)