基于区域Bhattacharyya相似度的SAR图像地物分类方法

系统工程与电子技术

基于区域Bhattacharyya相似度的SAR图像地物分类方法

邹焕新1, 秦先祥2, 周石琳1, 康红宴1, 计科峰1

(1. 国防科学技术大学电子科学与工程学院, 湖南长沙 410073;
2. 空军工程大学信息与导航学院, 陕西西安 710077)

出版日期:2016-11-29 发布日期:2010-01-03

Terrain classification of SAR images based on Bhattacharyya#br# similarity between regions

ZOU Huanxin1, QIN Xianxiang2, ZHOU Shilin1, KANG Hongyan1, JI Kefeng1

(1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;
2. Information and Navigation College, Air Force Engineering University, Xi’an 710077, China)

Online:2016-11-29 Published:2010-01-03

摘要/Abstract

摘要：

传统的基于像素的合成孔径雷达(synthetic aperture radar, SAR)图像地物分类方法难以有效区分起伏变化大的地物。针对该问题,提出了一种基于区域Bhattacharyya相似度的SAR图像地物分类方法。方法首先利用适当的图像分割技术获取均匀的SAR图像区域。接着定义Bhattacharyya相似度来描述区域之间的统计相似程度,并推导了其对应Gamma分布的解析表达式。最后,以图像区域为分类单元,基于最大区域Bhattacharyya相似度准则实现SAR图像地物分类。利用实测SAR图像的地物分类结果表明,该方法性能优于经典的基于像素的最大似然分类方法和支持矢量机方法,且优于基于区域的最小距离法。

Abstract:

Terrains with large variance are difficult to be discriminated by the traditional pixelbased classification methods for synthetic aperture radar (SAR) images. Aiming at solving this problem, an algorithm for terrain classification of SAR images based on the Bhattacharyya similarity between regions is proposed. Firstly, a proper image segmentation technology is applied to obtain homogeneous regions of the SAR image. Then, the Bhattacharyya similarity measuring the statistical proximity between regions is defined, of which the analytical expression referring to the Gamma distribution is derived. Finally, with the previous image regions as classification elements, terrain classification is implemented by a criterion of maximizing the Bhattacharyya similarity between regions. The experimental results on the real SAR image validates the superiority of the proposed algorithm to the pixelbased maximum likelihood classification method, support vector machine classifier and the regionbased method of minimizing the distance between regions.

邹焕新1, 秦先祥2, 周石琳1, 康红宴1, 计科峰1. 基于区域Bhattacharyya相似度的SAR图像地物分类方法[J]. 系统工程与电子技术.

ZOU Huanxin1, QIN Xianxiang2, ZHOU Shilin1, KANG Hongyan1, JI Kefeng1. Terrain classification of SAR images based on Bhattacharyya#br# similarity between regions[J]. Systems Engineering and Electronics.