基于迭代阈值分割的星载SAR洪水区域快速提取

TP751.1; 基于星载合成孔径雷达(synthetic aperture radar,SAR)的洪水区域提取可对洪灾信息进行高效提取.然而,传统提取方法往往时间复杂度较高,严重影响了洪灾区域获取的时效性.基于改进迭代阈值分割原理,本文提出了一种星载SAR图像洪水区域快速提取方法.首先,对预处理后的SAR图像进行高斯拟合再抽样,抑制SAR图像直方图异常点的影响.其次,利用迭代阈值算法进行水体提取,并基于形态学滤波对噪声进行抑制.最后,对已识别的水体区域开展变化检测,实现洪灾区域的提取.基于2020年7月鄱阳湖流域特大洪灾前后的哨兵-1 SAR图像,本文开展了洪水区域提取对比试验.试验结果表明...

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Published in系统工程与电子技术 Vol. 44; no. 9; pp. 2760 - 2768
Main Authors 苗添, 曾虹程, 王贺, 陈杰
Format Journal Article
LanguageChinese
Published 北京航空航天大学电子信息工程学院,北京100191 01.09.2022
Subjects
变化检测
洪水区域提取
合成孔径雷达
迭代阈值分割
Online AccessGet full text
ISSN1001-506X
DOI10.12305/j.issn.1001-506X.2022.09.08

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Abstract TP751.1; 基于星载合成孔径雷达(synthetic aperture radar,SAR)的洪水区域提取可对洪灾信息进行高效提取.然而,传统提取方法往往时间复杂度较高,严重影响了洪灾区域获取的时效性.基于改进迭代阈值分割原理,本文提出了一种星载SAR图像洪水区域快速提取方法.首先,对预处理后的SAR图像进行高斯拟合再抽样,抑制SAR图像直方图异常点的影响.其次,利用迭代阈值算法进行水体提取,并基于形态学滤波对噪声进行抑制.最后,对已识别的水体区域开展变化检测,实现洪灾区域的提取.基于2020年7月鄱阳湖流域特大洪灾前后的哨兵-1 SAR图像,本文开展了洪水区域提取对比试验.试验结果表明,该方法可在保证洪水区域提取精度的同时,显著提升处理效率.
AbstractList TP751.1; 基于星载合成孔径雷达(synthetic aperture radar,SAR)的洪水区域提取可对洪灾信息进行高效提取.然而,传统提取方法往往时间复杂度较高,严重影响了洪灾区域获取的时效性.基于改进迭代阈值分割原理,本文提出了一种星载SAR图像洪水区域快速提取方法.首先,对预处理后的SAR图像进行高斯拟合再抽样,抑制SAR图像直方图异常点的影响.其次,利用迭代阈值算法进行水体提取,并基于形态学滤波对噪声进行抑制.最后,对已识别的水体区域开展变化检测,实现洪灾区域的提取.基于2020年7月鄱阳湖流域特大洪灾前后的哨兵-1 SAR图像,本文开展了洪水区域提取对比试验.试验结果表明,该方法可在保证洪水区域提取精度的同时,显著提升处理效率.
Author 王贺
陈杰
曾虹程
苗添
AuthorAffiliation 北京航空航天大学电子信息工程学院,北京100191
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CHEN Jie
ZENG Hongcheng
WANG He
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洪水区域提取
合成孔径雷达
迭代阈值分割
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Snippet TP751.1; 基于星载合成孔径雷达(synthetic aperture radar,SAR)的洪水区域提取可对洪灾信息进行高效提取.然而,传统提取方法往往时间复杂度较高,严重影响了洪灾区域获取的...
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Title 基于迭代阈值分割的星载SAR洪水区域快速提取
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