二值马尔科夫模型和多波段遥感影像的多尺度纹理分割

Binary MRF Model and Multi-Scale Texture Segmentation of Multi-band Remote Sensing Image

提出一种二值马尔科夫纹理分割模型,用于多波段遥感影像的纹理分割。将一次性多类纹理分割问题转化为多次的二类纹理分割,综合考虑影像二维空间尺度和光谱空间尺度,采取多级二值分割的方式,得到多尺度纹理分割结果。

A binary Markov random field model is presented for multi-scale texture segmenta- tion of multi-band remote sensing image. An one-time multi-class segmentation problem is converted into a continual binary segmentation problem. At the same time, we scale of 2-d image space and scale of spatial space are synthetically considered, and we got multi-scale texture segmentation is gotten with the improvement of efficiency.