Fast Segmentation Algorithm of High Resolution Remote Sensing Image
一种快速高分辨率遥感影像分割算法*

The characters such as large size and complex details of high resolution remote sensing image like IKONOS image determines the technological difficult point of such image segmentation. In this study, a fast and accurate segmentation approach was proposed based on homogeneity gradient character, watershed transform and min-cost region merging. First, a homogeneity gradient image was produced from initial image. Then, an efficient watershed transform was employed to gain the initial segments. Finally, an improved region merging approach was proposed to merge the initial segments and the final segment was obtained. Experiments show, compared with other segment approach, the proposed one is a bit faster and a bit more accurate when applied to the IKONOS image.