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塔克拉玛干沙漠南缘是我国著名的风沙肆虐地区,由风吹送来的灰尘严重影响着地物的反射光谱特征,因此如何有效地去除灰尘的影响,为后续图像识别与分类奠定基础,是图像预处理阶段的一个重要任务。本文选择典型的干旱地区—于田县,进行实地野外光谱测试,基于主成分变换和傅立叶变换的噪声分析,使用高斯低通滤波器进行去噪处理,并且对实际的卫星影像进行了处理,说明了该方法的有效性和可操作性。
The southern margin of the Taklimakan Desert is a famous sandstorm area in our country. The dust from the wind seriously affects the reflectance characteristics of the ground objects. Therefore, how to remove the influence of the dust effectively and lay the foundation for the subsequent image recognition and classification is the image pretreatment stage An important task. In this paper, Yutian County, a typical arid region, was selected to carry out on-the-spot field spectral testing, noise analysis based on principal component transform and Fourier transform, Gaussian low-pass filter to denoise, and the actual satellite images were processed, The effectiveness and operability of this method.