基于Contourlet变换的高分辨率遥感影像分割

High-resolution Romote Sensing Images Segmentation Based on Contourlet Transform

鉴于Coutourlet变换能够充分提取影像中的高维边缘和轮廓信息,并结合低频信息构成影像特征。本文结合高分辨率遥感影像丰富的光谱特征和独特的纹理特征,提出一种基于Contourlet变换的影像分割方法。通过设置Contourlet变换不同分解层数、不同移动窗口进行对比实验,验证了本文方法的可行性,并通过与基于二维小波变换的影像分割进行对比实验,证明本文方法能够得到更平滑和连续的效果。

Because the edge and contour in the image of high dimension was fully captured by the Contourlet transform, the paper presents a image segmentation based on the Contourlet transform by integrating theimgage＇ s rich spectral characteristics and unique texture characteristics. Compared to the imageSegmentation method based on Wavelet Transform, obtain better result.