The Study Of Automatic Extracting Methods Of Changing Information In Land Use

This study aims to optimize the data processing flow,to develop data fusion technique,to improve monitoring precision.Two different algorithms based on the two-dimensional Wavelet Transform are proposed to automatically detect the land-use change parts using two images acquired at different times. They are called"image fusion"and"Wavelet-coefficient differencing". The former retrieve change information by using the weighted average of the corresponding Wavelet-coefficients of two images,whereas the latter retrieve change information by differencing the corresponding Wavelet-coefficients of two images. Both methods are novel in the field of land-use change detection. Since various automatic detecting methods have different sensitivity to the land use change information,and the resulting precision is governed by the noises in the images as well as the segmentation methods applied,a statistical method based on multiple images and neighboring pixels is presented.