自动化学报Issue(2)：279-289,11.DOI:10.16383/j.aas.2016.c150460
基于能量最小化的星载SAR图像建筑物分割方法
Building Segmentation of Spaceborne SAR Images Based on Energy Minimization
摘要
Abstract
To aim at the difficulties of low signal to noise ratio (SNR) of spaceborne synthetic aperture radar (SAR) image, high geometric deformation and the complex background of buildings, a variational method is proposed for segmenting the building of spaceborne SAR image based on energy minimization. The condition probability energy term is defined with the data of SAR image to drive the deformation curve to the boundary of the building. The length energy term is constructed with the length of the evolving contour to ensure the smoothness of the deformation curve. The prior shape of the building is acquired from the corresponding high-resolution optical remote sensing image and the prior shape energy term is introduced into the energy functional. On the basis of a preliminary segmentation result which is achieved by the level set method, the building segmentation is implemented eventually by imposing the constraint of the prior shape. Experimental results demonstrate that the proposed model can improve the segmentation accuracy of the building target significantly.关键词
星载SAR图像/建筑物分割/能量最小化/先验形状Key words
Spaceborne SAR images/building segmentation/energy minimization/prior shape引用本文复制引用
周则明,孟勇,黄思训,胡宝鹏..基于能量最小化的星载SAR图像建筑物分割方法[J].自动化学报,2016,(2):279-289,11.基金项目
国家自然科学基金(61473310,41174164,41175025,41275029,41305138),公益性行业(气象)科研专项(GYHY201306068)资助@@@@Supported by National Natural Science Foundation of China (61473310,41174164,41175025,41275029,41305138) and China Research and Development Special Fund for Public Welfare In-dustry (Meteorology)(GYHY201306068) （61473310,41174164,41175025,41275029,41305138）
