提出的方法不仅能够有效地消除传感器随机噪声的影响，而且还能够很好地保持遥感图像上重要的细节边缘和影像质量。
Our methods not only effectively remove the impulsive noise caused by sensors, but also preferably preserve important detailed edges and image quality in remotely sensed images.
然后，利用图像化的地层、重力、化探、线环构造和遥感影像数据进行RGB合成，通过HIS变换进行多源地学数据融合。
These image data and remote sensing image can be integrated in RGB form and then be transformed into HIS to merge the geological data.
小波分析和傅立叶分析被广泛地应用于图像处理的各个领域，它们也能被应用于遥感影像土地利用变化检测。
Wavelet and Fourier analyses are widely used in various fields of image processing. They can be utilized in land use remote sensing dynamic monitoring to detect change information automatically.
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