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国土资源遥感  2017, Vol. 29 Issue (2): 67-71    DOI: 10.6046/gtzyyg.2017.02.10
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
朗伯定律的宽观测带SAR海冰图像分割
赵庆平1, 2
1.淮北师范大学物理与电子信息学院,淮北 235000;
2.淮北师范大学信息学院,淮北 235000
Wide-swath SAR ice images segmentation based on Lambert’s law
ZHAO Qingping1, 2
1. School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China;
2. Information College, Huaibei Normal University, Huaibei 235000, China
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摘要 入射角效应是宽观测带SAR海冰图像分割的主要障碍之一。基于宽观测带SAR海冰图像数据,提出了一种集成余弦朗伯定律的分割算法。为了提高分割算法对SAR海冰图像的适应性,充分考虑了斑点噪声和入射角效应因素,并在区域K-means聚类、朗伯定律校正之后,进行区域合并。分别针对合成SAR海冰图像和星载SAR海冰图像的实验结果表明,该算法可有效提高分割的准确性。
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关键词 纹理特征种子区域生长(SRG)层次区域生长(HRG)高分遥感影像(HRI)影像分割    
Abstract:Incidence angle effect of the SAR images is a major obstacle to the automatic interpretation of SAR sea ice image. Based on wide-swath SAR ice data, this paper proposes a new segmentation algorithm which integrates Lambert’s law correction step. The segmentation algorithm considers the effects of speckle noise and the angle of incidence of factors. The Lambert’s law correction and region merging will be combined. The efficiency of the proposed method has been demonstrated on the segmentation of synthetic SAR sea ice image and gulf of Bothnia SAR sea ice image, where the segmentation accuracy has been substantially improved in contrast to area-based Markov random field(MRF) algorithm.
Key wordstexture feature    seeded region growing (SRG)    hierarchical region growing (HRG)    high-resolution remote sensing image(HRI)    image segmentation
收稿日期: 2016-09-07      出版日期: 2017-05-03
基金资助:安徽省高校自然科学研究重点项目“距离相校正的SAR海冰图像自动分割研究” (编号: KJ2016A650)资助
作者简介: 赵庆平(1972- ),男,硕士,副教授,主要研究方向为合成孔径遥感图像处理与分析、计算机网络通信等。Email: zhaoqingping1215@163.com。
引用本文:   
赵庆平. 朗伯定律的宽观测带SAR海冰图像分割[J]. 国土资源遥感, 2017, 29(2): 67-71.
ZHAO Qingping. Wide-swath SAR ice images segmentation based on Lambert’s law. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 67-71.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2017.02.10      或      https://www.gtzyyg.com/CN/Y2017/V29/I2/67
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