Texture Recognition by an Adaptive Algorithm for the Estimation SAR Parameters

李欣亮; 廖孟扬; 覃家美

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Texture Recognition by an Adaptive Algorithm for the Estimation SAR Parameters

更新时间：2025-12-08

- Texture Recognition by an Adaptive Algorithm for the Estimation SAR Parameters
- Acta Electronica Sinica Issue 1, (1995)
- 作者机构：
  
  武汉大学空间物理与电子信息学系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：1995
- 稿件说明：
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[1]李欣亮,廖孟扬,覃家美.利用自适应算法的快速估计参数进行图像纹理分割[J].电子学报,1995(01):106-109.

李欣亮, 廖孟扬, 覃家美. Texture Recognition by an Adaptive Algorithm for the Estimation SAR Parameters[J]. Acta Electronica Sinica, 1995, (1).
[1]李欣亮,廖孟扬,覃家美.利用自适应算法的快速估计参数进行图像纹理分割[J].电子学报,1995(01):106-109. DOI：

李欣亮, 廖孟扬, 覃家美. Texture Recognition by an Adaptive Algorithm for the Estimation SAR Parameters[J]. Acta Electronica Sinica, 1995, (1). DOI：

摘要

本文提出使用Ｗｉｄｒｏｗ－ＨｏｆｆＬＭＳ自适应算法对二维随机场ＳＡＲ模型参数进行快速估计并报导了使用ＳＡＲ模型的自适应估计参数进行有监督纹理分类及纹理分割的实验结果．实验结果表明，ＳＡＲ模型的自适应快速估计参数能够比较有效地进行纹理识别．

Abstract

In this paper

we suggest using widrow-Hoff LMS method for SAR parameter estimation.Two supervised classifiication experiments and two unsupervised segmentation experiments have been carried out to examine the performance of the LMS estimation scheme.The classification accuracy rates of our experiments are 91% and 100% respectively.In our segmentation experiments

the texture boundries are accurately detected.

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