| 引用本文: | 毋 琳， 牛世林， 郭拯危， 李 宁. 一种新颖的亚像素级SAR图像水陆分割方法[J]. 雷达科学与技术, 2020, 18(5): 494-500.[点击复制] |
| WU Lin, NIU Shilin, GUO Zhengwei, LI Ning. A Novel Waterline Mapping Method of SAR Image with Sub-Pixel Accuracy[J]. Radar Science and Technology, 2020, 18(5): 494-500.[点击复制] |
|
| 摘要: |
| 星载合成孔径雷达(Synthetic Aperture Radar，SAR)图像水陆分割对水域识别、洪水监测等领域研究具有重要意义。然而，星载SAR图像的空间分辨率通常在米至十米量级，水域边界上会存在大量既包含陆地又包含水域的混合象元。传统像素级水陆分割算法难以获取高精度的水陆分割结果。本文提出一种新颖的亚像素级SAR图像水陆分割方法，该方法采用一种改进的非局域滤波算法抑制相干斑噪声，再利用模糊C均值聚类算法进行像素级水陆分割，在此基础上应用基于双三次样条插值与几何主动轮廓模型的精分割方案，获取更高精度的亚像素级水域轮廓。本文以南水北调中线工程水源地——丹江口水库为实验区域，利用国产高分三号（GF-3）卫星的多模式SAR图像，开展水陆分割验证实验。实验结果表明，所提方法可实现亚像素级精度的水陆分割，与传统方法相比，平均像素偏移精度提升一个数量级。 |
| 关键词: 亚像素 水陆分割 合成孔径雷达(SAR) 丹江口水库 |
| DOI：DOI:10.3969/j.issn.1672-2337.2020.05.006 |
| 分类号:TN959.1；TN958 |
| 基金项目:国家自然科学基金(No.61871175)； 河南省高等学校重点科研项目(No.19A420005)； 河南省科技攻关计划项目(No.182102210233)； 河南省青年人才托举工程(No.2019HYTP006)； 河南大学研究生教育创新与质量提升计划项目(No.SYL18060127) |
|
| A Novel Waterline Mapping Method of SAR Image with Sub-Pixel Accuracy |
|
WU Lin, NIU Shilin, GUO Zhengwei, LI Ning
|
|
1. School of Computer and Information Engineering, Henan University, Kaifeng 475004, China;2. College of Environment and Planning, Henan University, Kaifeng 475004, China;3. Henan Engineering Research Center of Intelligent Technology and Application, Kaifeng 475004, China;4. Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng 475004, China
|
| Abstract: |
| Waterline mapping with synthetic aperture radar (SAR) image is of great significance in resear-ching water resource and monitoring flood. However, spaceborne SAR image typically has spatial resolution in range of several meters to several decameters,which results in lots of mixed pixels that contain both land and water on the water boundary. It makes difficult for traditional pixel-level waterline mapping methods to obtain high-precision waterline. This paper presents a novel sub-pixel level SAR image waterline mapping method. Firstly, an improved non-local filter is adapted to suppress the speckle noise. Secondly, the fuzzy C-mean clustering algorithm is used to extract the pixel-level waterline. Finally, a refined segmentation scheme based on bicubic spline convolution and geometric active contour model is proposed to obtain a higher precision sub-pixel level waterline. The Danjiangkou Reservoir, which is the water source of the middle route of the South-to-North water transfer project, is selected as the experimental area. And the multi-mode SAR images obtained by Chinese Gaofen-3 sa-tellite are used to validate the effectiveness of the proposed method. The experimental results show that the proposed method can achieve the subpixel-level waterline mapping. 〖JP2〗Comparing with the traditional method, the average pixel offset accuracy is increased by an order of magnitude. |
| Key words: subpixel scale waterline mapping synthetic aperture radar (SAR) Danjiangkou reservoir |
