中文摘要：

利用高分辨率遥感图像的光谱信息提取耕地地块对于土地利用动态监测、精准农业等领域有着非常重要的意义，然而传统的结合GIS软件与手工数字化提取地块的方法费时费力，并且具有很大的主观性，因此利用计算机自动提取地块具有很强的现实意义。文章提出了一种基于小波变换和分水岭分割的高分辨率遥感图像耕地地块提取方法，首先结合高分辨率层遥感图像的光谱信息，利用图像分类结果对原始图像中典型地物的灰度值进行对比增强处理，然后进行小波变换和分水岭分割，通过改进的区域合并算法解决过度分割问题，最后利用Canny算子引入边缘信息，得到最终的耕地地块分割结果。通过对北京地区Quickbird数据的应用，准确快速的提取了耕地地块数据，证明该方法是一种有效、可行的高分辨率遥感图像耕地地块提取方法。

英文摘要：

A new method of farmland parcel extraction from high resolution remote sensing image based on wavelet and watershed segmentation was proposed in the present paper. First, classification results were used to enhance the contrast of gray-scale value of typical pixels in the original image using the high resolution remote sensing image＇s spectral information. Second, wavelet transform and watershed segmentation were applied to the enhanced image, then improved region merger algorithm was used to solve the problem of over-segmentation. Finally, inverse wavelet transform was taken to get the reconstructed image, then Canny operator was introduced to add the edge information, and the result of farmland parcel segmentation was obtained. To validate the proposed approach, experiments on Quickbird images were performed, we rapidly extracted the farmland parcel from the test image, and the results had a high accuracy. Despite it had a lot to do in extracting the small size parcels, on the whole the method this paper proposed had a very good robustness. Compared with the traditional methods, it had the following advantages. （1） it was an automatic extraction method, did not need too much manual intervention, and could extract the large area of farmland parcels accurately and effectively. （2） It was a very good solution to the problem of over-segmentation by using improved region merger algorithm, and improved the accuracy of the extraction. All these indicated that the proposed approach was an effective farmland parcel extraction method based on high resolution remote sensing image.