高分辨率遥感影像变化检测的频域分析预处理方法

虢英杰; 朱兰艳

doi:10.11947/j.AGCS.2017.20160570

测绘学报 >

2017 , Vol. 46 >Issue 6: 743 - 752

DOI: https://doi.org/10.11947/j.AGCS.2017.20160570

摄影测量学与遥感

高分辨率遥感影像变化检测的频域分析预处理方法

虢英杰 ,
朱兰艳

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昆明理工大学国土资源工程学院, 云南昆明 650093

虢英杰(1993—),男,硕士,研究方向为现从事定量遥感、变化信息识别和提取。E-mail:884833945@qq.com

收稿日期: 2016-11-16

修回日期: 2017-05-19

网络出版日期: 2017-06-28

基金资助

国家自然科学基金（41261043）

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A Preprocess for Change Detection Method from High Resolution Remotely Sensed Imagery in Frequency Domain

GUO Yingjie ,
ZHU Lanyan

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Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

Received date: 2016-11-16

Revised date: 2017-05-19

Online published: 2017-06-28

Supported by

The National Natural Science Foundation of China (No. 41261043)

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摘要

目前，大多数高分辨率遥感影像变化检测方法的效率不高，精度也难以达到实际应用要求，本文引入频域分析的方法进行变化检测预处理，达到提高变化信息检测精度和效率的目标。首先，对影像频域能量的分布特征进行分析，并以此为基础，利用累加距离匹配函数，完成试验影像的合理分块；其次，通过变化性纹理规则度的定义和计算，实现对同能量下变化信息的精确描述，缩小变化区域搜索范围，有效抑制背景信息对目标信息的干扰。最后，通过3种常用的变化检测方法的验证，发现变化检测预处理方法可以使检测算法在现有精度和效率的基础上有进一步提高。

关键词： 变化检测预处理; 频域分析; 变化性纹理规则度; 最优分块

本文引用格式

虢英杰 , 朱兰艳 . 高分辨率遥感影像变化检测的频域分析预处理方法[J]. 测绘学报, 2017 , 46(6) : 743 -752 . DOI: 10.11947/j.AGCS.2017.20160570

Abstract

At present,the efficiency of change detection from high resolution remotely sensed imagery is generally not very high, and accuracy couldn't meet the practical requirements. A method which introduced frequency domain analysis is put forward in this paper. Firstly, it studies the distribution of image frequency energy. Using it as a basis, the image division is accomplished by summed-up distance matching function. Secondly, the definition and computation of texture regularity of change information(TRCI) clearly and accurately expresses the change information according to equal energy rule of image blocks, greatly narrowing the search area. Thus, the background information could be greatly suppressed so as to improve the efficiency and precision of detection. Finally, through measuring and comparing of the accuracy and efficiency of three different detection algorithms before and after introducing the preprocess, we find that it could provides more accurate results on the existed basis.

Key words： preprocess for change detection; frequency domain analysis; TRCI; optimal image blocking

参考文献

[1] LI Deren, WANG Zhijun, LI Qingquan. Current Progress on Multisensor Image Fusion in Remote Sensing[C]//Proceedings of SPIE. Wuhan, China: SPIE, 2001, 4556: 1-6.
[2] 李立鹏. 面向目标的图像特征提取和变化检测方法研究[D]. 北京: 北方工业大学, 2013: 1-7. LI Lipeng. Target-oriented Image Feature Extraction and Change Detection Method[D]. Beijing: North China University of Technology, 2013: 1-7.
[3] CHEN Jin, CHEN Xuehong, CUI Xihong, et al. Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(2): 317-321.
[4] 王慕华, 张继贤, 李海涛, 等. 基于区域特征的高分辨率遥感影像变化检测研究[J]. 测绘科学, 2009, 34(1): 92-94. WANG Muhua, ZHANG Jixian, LI Haitao et al. High Resolution Images Change Detection Based on Region Feature[J]. Science of Surveying and Mapping, 2009, 34(1): 92-94.
[5] BOVOLO F, BRUZZONE L. A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(1): 218-236.
[6] 贾永红, 谢志伟, 张谦, 等. 采用独立阈值的遥感影像变化检测方法[J]. 西安交通大学学报, 2015, 49(12): 12-18. JIA Yonghong, XIE Zhiwei, ZHANG Qian, et al. A Change Detection Method of Remote Sensing Images with Independent Threshold[J]. Journal of Xi'an Jiaotong University, 2015, 49(12): 12-18.
[7] 吴桂平, 肖鹏峰, 冯学智, 等. 一种基于频谱段能量的高分辨率遥感图像边缘特征检测方法[J]. 测绘学报, 2011, 40(5): 587-609. WU Guiping, XIAO Pengfeng, FENG Xuezhi, et al. A Method of Edge Feature Detection from High-resolution Remote Sensing Images Based on Frequency Spectrum Zone Energy[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(5): 587-609.
[8] 王东峰, 邹谋炎. 傅氏变换的自配准性质及其在纹理识别和图象分割中的应用[J]. 中国图象图形学报, 2003, 8(2): 140-146. WANG Dongfeng, ZOU Mouyan. Auto-registration of Fourier Transform Magnitude Spectra and Its Application on Texture Identification and Segmentation[J]. Journal of Image and Graphics, 2003, 8(2): 140-146.
[9] 朱书凡. 基于遥感影像分块提取地物方法的研究[D]. 西安: 西安科技大学, 2014: 2-3. ZHU Shufan. Research on the Extraction of Terrain Block Feature Based on Remote Sensing Image[D]. Xi'an: Xi'an University of Science and Technology, 2014: 2-3.
[10] ASHA V, NAGABHUSHAN P, BHAJANTRI N U. Automatic Extraction of Texture-periodicity Using Superposition of Distance Matching Functions and Their forward Differences[J]. Pattern Recognition Letters, 2012, 33(5): 629-640.
[11] CONNERS R W, HARLOW C A. Toward a Structural Textural Analyzer Based on Statistical Methods[J]. Computer Graphics and Image Processing, 1980, 12(3): 224-256.
[12] 傅鹏, 孙权森, 纪则轩, 等. 一种遥感图像信噪比评估和度量准则[J]. 测绘学报, 2013, 42(4): 559-567. FU Peng, SUN Quansen, JI Zexuan, et al. A Method of SNR Estimation and Comparison for Remote Sensing Image[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(4): 559-567.
[13] CHEN Jin, CHEN Xuehong, CUI Xihong, et al. Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(2): 317-321.
[14] 孙晓霞, 张继贤, 燕琴, 等. 遥感影像变化检测方法综述及展望[J]. 遥感信息, 2011(1): 118-123. SUN Xiaoxia, ZHANG Jixian, YAN Qin, et al. A Summary on Current Techniques and Prospects of Remote Sensing Change Detection[J]. Remote Sensing Information, 2011(1): 118-123.
[15] 佃袁勇, 方圣辉, 姚崇怀. 一种面向地理对象的遥感影像变化检测方法[J]. 武汉大学学报(信息科学版), 2014, 39(8): 906-912. DIAN Yuanyong, FANG Shenghui, YAO Chonghuai. The Geographic Object-based Method for Change Detection with Remote Sensing Imagery[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8): 906-912.
[16] 吴剑. 基于面向对象技术的遥感震害信息提取与评价方法研究[D]. 武汉: 武汉大学, 2010: 5-8. WU Jian. The Research of Earthquack Information Extraction and Assessment Based on Object-oriented Technology with Remotely-sensed Data[D]. Wuhan: Wuhan University, 2010: 5-8.
[17] 毕胜, 梁德群. 基于人类视觉特性的纹理分割方法[J]. 计算机应用, 2006, 26(5): 1015-1017. BI Sheng, LIANG Dequn. Adaptive Texture Segmentation Method Based on Property of HVS[J]. Journal of Computer Applications, 2006, 26(5): 1015-1017.
[18] 李德仁, 张良培, 夏桂松. 遥感大数据自动分析与数据挖掘[J]. 测绘学报, 2014, 43(12): 1211-1216. DOI: 10.13485/j.cnki.11-2089.2014.0187. LI Deren, ZHANG Liangpei, XIA Guisong. Automatic Analysis and Mining of Remote Sensing Big Data[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(12): 1211-1216. DOI: 10.13485/j.cnki.11-2089.2014.0187.
[19] HUO Chunlei, ZHOU Zhixin, LU Hanqing, et al. Fast Object-level Change Detection for VHR Images[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1): 118-122.
[20] BRUZZONE L, BOVOLO F. A Novel Framework for The Design of Change-detection Systems for Very-high-resolution Remote Sensing Images[J]. Proceedings of the IEEE, 2013, 101(3): 609-630.
[21] 蒋圣, 汤国安, 刘凯. 利用累加距离匹配函数的纹理规则度计算方法[J]. 计算机辅助设计与图形学学报, 2015, 27(10): 1874-1880. JIANG Sheng, TANG Guoan, LIU Kai. A Computation Method of Texture Regularity Using Summed-up Distance Matching Function[J]. Journal of Computer-Aided Design & Computer Graphics, 2015, 27(10): 1874-1880.
[22] 吴桂平, 肖鹏峰, 冯学智, 等. 利用频谱能量进行高分辨率遥感图像地物识别[J]. 武汉大学学报(信息科学版), 2011, 36(11): 1294-1297. WU Guiping, XIAO Pengfeng, FENG Xuezhi, et al. Object Recognition for High-resolution Remotely Sensed Imagery Based on Energy in Frequency Domain[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1294-1297.
[23] 曹敏, 史照良, 阳建逸. 蜂群智能算法的遥感影像分类方法[J]. 测绘学报, 2013, 42(5): 745-751. CAO Min, SHI Zhaoliang, YANG Jianyi. An Innovative Method to Classify Remote Sensing Images Using Artificial Bee Colony Algorithm[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(5): 745-751.
[24] 杨钊霞, 邹峥嵘, 陶超, 等. 空-谱信息与稀疏表示相结合的高光谱遥感影像分类[J]. 测绘学报, 2015, 44(7): 775-781. DOI: 10.11947/j.AGCS.2015.20140207. YANG Zhaoxia, ZOU Zhengrong, TAO Chao, et al. Hyperspectral Image Classification Based on the Combination of Spatial-spectral Feature and Sparse Representation[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(7): 775-781. DOI: 10.11947/j.AGCS.2015.20140207.
[25] 曹森, 潘耀忠, 张锦水, 等. 土地覆盖图斑多时相遥感影像自动配准[J]. 测绘学报, 2014, 43(3): 290-297. DOI: 10.13485/j.cnki.11-2089.2014.0042. CAO Sen, PAN Yaozhong, ZHANG Jinshui, et al. Land Cover Patches Based Automatic Multi-temporal Remote Sensing Images Registration[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(3): 290-297. DOI: 10.13485/j.cnki.11-2089.2014.0042.
[26] 肖鹏峰, 冯学智. 高分辨率遥感图像分割与信息提取[M]. 北京: 科学出版社, 2012, 3: 3-4. XIAO Pengfeng, FENG Xuezhi. Remote Sensing Image Segmentation and Information Extraction[M]. Beijing: Science Press, 2012, 3: 3-4.
[27] PERONA P, MALIK J. Scale-space and Edge Detection Using Anisotropic Diffusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7): 629-639.
[28] BAUMGARTNER A, HINZ S, WIEDEMANN C. Efficient Methods and Interfaces for Road Tracking[J]. International Archives of Photogrammetry and Remote Sensing, 2002, 34: 28-31.

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