...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case
【24h】

A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case

机译：SAR图像参数阈值分层的基于方法：洪水淹没作为测试案例

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Parametric thresholding algorithms applied to synthetic aperture radar (SAR) imagery typically require the estimation of two distribution functions, i.e., one representing the target class and one its background. They are eventually used for selecting the threshold that allows binarizing the image in an optimal way. In this context, one of the main difficulties in parameterizing these functions originates from the fact that the target class often represents only a small fraction of the image. Under such circumstances, the histogram of the image values is often not obviously bimodal and it becomes difficult, if not impossible, to accurately parameterize distribution functions. Here we introduce a hierarchical split-based approach that searches for tiles of variable size allowing the parameterization of the distributions of two classes. The method is integrated into a flood-mapping algorithm in order to evaluate its capacity for parameterizing distribution functions attributed to floodwater and changes caused by floods. We analyzed a data set acquired during a flood event along the Severn River (U.K.) in 2007. It is composed of moderate (ENVISAT-WS) and high (TerraSAR-X)-resolution SAR images. The obtained classification accuracies as well as the similarity of performance levels to a benchmark obtained with an established method based on the manual selection of tiles indicate the validity of the new method.
机译：应用于合成孔径雷达（SAR）图像的参数阈值算法通常需要估计两个分布函数，即一个代表目标类别，另一个代表背景。它们最终用于选择阈值，该阈值允许以最佳方式对图像进行二值化。在这种情况下，参数化这些功能的主要困难之一是由于目标类别通常仅代表图像的一小部分。在这种情况下，图像值的直方图通常不是很明显是双峰的，并且即使不是不可能，也很难准确地对分布函数进行参数化。在这里，我们介绍了一种基于分层拆分的方法，该方法搜索可变大小的图块，从而允许对两个类别的分布进行参数化。该方法被集成到洪水映射算法中，以评估其用于参数化分配给洪水和洪水造成的变化的分布函数的能力。我们分析了2007年英国塞文河沿岸洪水事件期间获取的数据集。该数据集由中等分辨率（ENVISAT-WS）和高分辨率（TerraSAR-X）SAR图像组成。所获得的分类精度以及性能水平与使用基于手动选择瓦片的既定方法获得的基准所达到的相似性表明了该新方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号