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.
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。
A filtering method based on wavelet transform with local maximum value was discussed. The method could distinguish signal from the noise according to the different features of scale change.
小波变换局部极大值滤波方法利用信号与噪声不同的尺度变化特性来区分信号与噪声，将噪声从信号中分离出来。
Wavelet analysis reveals that the temporal scale of this change is larger than 20 years.
子波分析的结果证实这次转变的时间尺度在20年以上。
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