Hierarchical Segmentation of Multitemporal RADARSAT-2 SAR Data Using Stationary Wavelet Transform and Algebraic Multigrid Method
Hierarchical Segmentation of Multitemporal RADARSAT-2 SAR Data Using Stationary Wavelet Transform and Algebraic Multigrid Method
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DOI：
10.1109/tgrs.2013.2281462
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发表时间：
2014-07-01
影响因子：
8.2
通讯作者：
Zou, Bin
中科院分区：
文献类型：
--
作者：
Deng, Juan;Ban, Yifang;Zou, Bin
本文的目的是发展一种新的有效的方法，在城市地区的多时相超细波束合成孔径雷达（SAR）数据的分层分割。多时相RADARSAT-2超细波束高分辨率水平发射和水平接收合成孔径雷达（HH-SAR）的图像在2008年夏季期间在大多伦多地区的城乡结合部获得的这项研究选择。提出了平稳小波变换（SWT）和代数多重网格（AMG）的SAR数据分割方法。在图像预处理中，将SWT应用于多时相SAR图像的分解。采用分层矩阵AMG方法进行图像分割。通过选择代表像素和计算细级网格和粗级网格之间的插值矩阵的迭代来构造由细到粗的金字塔网格。当金字塔完成时，通过基于插值矩阵的自顶向下扫描来确定段。AMG技术提供了一个完整的SAR数据的分层分割。实验结果表明，我们的方法产生更高的准确性比eCognition。
The objective of this paper is to develop a new effective method for hierarchical segmentation of multitemporal ultrafine-beam synthetic aperture radar (SAR) data in urban areas. Multitemporal RADARSAT-2 ultrafine-beam high-resolution horizontal transmit and horizontal receive-Synthetic Aperture Radar (HH-SAR) images acquired in the rural-urban fringe of the Greater Toronto Area during the summer of 2008 are selected for this research. Stationary wavelet transform (SWT) and algebraic multigrid (AMG) method are proposed for segmentation of SAR data. SWT is applied for decomposition of multitemporal SAR images in image preprocessing. The hierarchical and matrix-based AMG method is applied for segmentation. A pyramid of fine-to-coarse grids is constructed by iteration of selecting representative pixels and calculating the interpolation matrix between a fine-level grid and a coarse-level grid. When the pyramid is completed, segments are determined by a top-down scanning based on the interpolation matrices. The AMG techniques provide a complete hierarchical segmentation of SAR data. The experimental results show that our method produces higher accuracy than eCognition.