摘要
由于多普勒天气雷达探测回波采样点数有限,需要采用数字图像插值。本文分析了传统插值方法中常用的双线形插值和立方卷积插值,并提出了一种自适应RGB插值算法,根据映射点邻域原图像的复杂程度,自适应地调节RGB插值权值,并将其应用到多普勒天气雷达探测大气中水粒子散射回波信号的真实采样数据进行数字图像处理,在VC++6.0中以此算法结合自适应卡尔曼滤波的校正方法后呈现降水量RGB分布图,证明了算法的合理性和优越性。
As the sampling points of Doppler weather radar echo are limited, the method of digital image interpolation needs to be used in image processing. The bilinear interpolation and cubic convolution interpolation, which are popular interpolation algorithm for digital image processing, are analyzed, and the new self-adaptive interpolation algorithm is proposed. This algorithm is to self-adaptively determine the weights of direct and indirect neighbore ity area. The self-adaptive interpolation phere water particle in Doppler weather pixels according to the image complexity of mapping point proximis used in real sampling data of scattering echo signal by atmosradar detecting to process the image. The RGB profile of precipitation amount is revealed by combining this algorithm with the self-adaptive Kalman filtering in VC ＋ ＋. The experiment results show that this algorithm is superior to the traditional interpolation algorithms.
出处
《航空兵器》
2008年第4期18-22,共5页
Aero Weaponry
关键词
多普勒雷达
双线形插值
立方卷积插值
自适应RGB插值
自适应卡尔曼滤波
Doppler radar
bilinear interpolation
cubic convolution interpolation
self-adaptive RGB interpolation
self-adaptive interpolation Kalman filtering
