【摘要】 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。对两个时相多光谱影像的各波段或各主成分进行小波变换或傅立叶变换,然后对变换后得到的系数求差,最后对差值进行小波逆变换或傅立叶逆变换,得到的结果图像中,那些有变化地区的亮度会比没有变化地区的亮度高出很多。文中,分别利用小波变换和傅立叶变换两种方法对相同的两时相多光谱影像进行变化检测,发现小波变换结果好于傅立叶变换。更多还原

【Abstract】 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.The procedures are as followed: firstly do wavelet transform or Fourier transform to each band or principal component of the multi- spectrum images of two different periods,the coefficients after transform are subtracted,then do inverse transform.The result images display land using changing areas with high brightness.In this paper,we do experiments using the two transforms,and find the result of wavelet transform is better.更多还原