全彩色遥感图像空间域三通滤波方法
Three-Way Filtering Method in Spatial Domain of Full-Color Remote Sensing Image

针对影响遥感图像的噪声信号，需要用空间域数字滤波进行去除，来达到完善遥感图像的目的。传统的单通道空间域滤波器大多都是将遥感图像转化为灰度图像，再进行空间域滤波，如果要恢复色彩必须再进行灰度图和原图相比对，构建反映射函数后才会得到一张彩色图像，映射后的结果图像已经失真，为避免这种假彩色图像的产生以及简化滤波流程，需要运用三通道滤波来直接完成图像滤波过程；将RGB图像分割为R波段、G波段及B波段使之形成三张图像，在空间域分别滤波后再将其合并成一张新的图像，即为三通滤波后的全彩色遥感图像。经过实例论证，通过运用全彩色遥感图像空间域三通道滤波的方法，处理过后的遥感图像相对于传统单通道滤波方式更加颜色保真、高信噪比，操作更加便捷。
In order to improve the remote sensing image, it is necessary to remove the noise signal that affects the remote sensing image by spatial domain digital filtering. Traditional spatial domain filters mostly convert remote sensing images into gray images, and then filter them in spatial domain. If the color is to be restored, the gray image must be compared with the original image, and then a color image will be obtained after the reflection function is constructed. The mapped image has been distorted. In order to avoid the false color image and simplify the filtering process, it is necessary to use three-channel filtering to directly complete the image filtering process. RGB images are divided into R-band, G-band and B-band to form three images, which are filtered separately in the spatial domain and then merged into a new image, which is the full-color remote sensing image after three-way filtering. Through example demonstration, by using the three-channel filtering method in the spatial domain of full-color remote sensing image, compared with the traditional single-channel filtering method, the processed remote sensing image is more color fidelity, high SNR, and more convenient to operate.