全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于Bayes决策的机载全极化SAR图像滑坡信息提取

DOI: 10.6046/gtzyyg.2014.02.20, PP. 121-127

Keywords: Bayes决策,高效能机载SAR系统(HASARS),全极化SAR,滑坡灾害

Full-Text   Cite this paper   Add to My Lib

Abstract:

将雷达遥感技术应用于滑坡灾害调查是地学应用的一个重要方向,特别是在多云多雨地区。由中国科学院电子学研究所研发的高效能机载SAR系统(high-performanceairbornesyntheticapertureRadarsystem,HASARS)具备X波段双基线干涉和P波段全极化观测的能力,是国内首家多频段多模式机载SAR系统。从多极化机载SAR数据的特征选择和信息提取等角度,评估了不同极化模式组合对滑坡信息提取精度的影响;并基于Bayes决策理论,提出了多极化SAR图像分类的特征选择方法。利用不同研究样区的特征选择结果提取了多个滑坡的范围,提取精度均在90%以上。HASARS的高空间分辨率及其获取的高精度DEM和P波段全极化观测,可以近实时、高精度地获取地表滑坡灾害专题信息,在滑坡等减灾救灾领域具有广阔的应用前景。

References

[1]  胡德勇,李京,陈云浩,等.GIS支持下滑坡灾害空间预测方法研究[J].遥感学报,2007,11(6):852-859. Hu D Y,Li J,Chen Y H,et al.GIS-based landslide spatial prediction methods:A case study in Comeron highland,Malaysia[J].Journal of Remote Sensing,2007,11(6):852-859.
[2]  廖明生,唐婧,王腾,等.高分辨率SAR数据在三峡库区滑坡监测中的应用[J].中国科学:地球科学,2012,42(2):217-229. Liao M S,Tang J,Wang T,et al.Landslide monitoring with high resolution SAR data in the three Gorges region[J].Scientia Sinica Terrae,2012,42(2):217-229.
[3]  刘菊,廖静娟,沈国状.基于全极化SAR数据反演鄱阳湖湿地植被生物量[J].国土资源遥感,2012,24(3):38-43. Liu J,Liao J J,Shen G Z.Retrieval of wetland vegetation biomass in Poyang lake based on quad- polarization image[J].Remote Sensing for Land and Resources,2012,24(3):38-43.
[4]  王庆,曾琪明,廖静娟.基于极化分解的极化特征参数提取与应用[J].国土资源遥感,2012,24(3):103-110. Wang Q,Zeng Q M,Liao J J.Extraction and application of polarimetric characteristic parameters based on polarimetric decomposition[J].Remote Sensing for Land and Resources,2012,24(3):103-110.
[5]  吴永辉,计科峰,郁文贤.基于H-α和改进C-均值的全极化SAR图像非监督分类[J].电子与信息学报,2007,29(1):30-34. Wu Y H,Ji K F,Yu W X.Unsupervised classification of fully polarimetric SAR image using H-α decomposition and modified C-mean algorithm[J].Journal of Electronics and Information Technology,2007,29(1):30-34.
[6]  Qi Z X,Yeh A G O,Li X,et al.A novel algorithm for land use and land cover classification using Radarsat-2 polarimetric SAR data[J].Remote Sensing of Environment,2012,118:21-39.
[7]  Wen X B,Zhang H,Zhang J G,et al.Multiscale modeling for classification of SAR imagery using hybrid EM algorithm and genetic algorithm[J].Progress in Natural Science,2009,19(8):1033-1036.
[8]  Balaguer A,Ruiz L A,Hermosilla T,et al.Definition of a comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification[J].Computers and Geosciences,2010,36(2):231-240.
[9]  胡德勇,李京,陈云浩,等.单波段单极化SAR图像水体和居民地信息提取方法研究[J].中国图象图形学报,2008,13(2):257-263. Hu D Y,Li J,Chen Y H,et al.Water and settlement area extraction from single-band,single-polarization SAR images based on SVM method[J].Journal of Image and Graphics,2008,13(2):257-263.
[10]  吴永辉,计科峰,郁文贤.SVM全极化SAR图像分类中的特征选择[J].信号处理,2007,23(6):877-881. Wu Y H,Ji K F,Yu W X.A new feature selection algorithm for SVM-based fully polarimetric SAR image classification[J].Signal Processing,2007,23(6):877-881.
[11]  Bhanu B,Lin Y Q.Genetic algorithm based feature selection for target detection in SAR images[J].Image and Vision Computing,2003,21(7):591-608.
[12]  Li S,Wu H,Wan D S,et al.An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine[J].Knowledge-Based Systems,2011,24(1):40-48.
[13]  刘蓉,靳红梅,段福庆.基于Bayes决策的光谱分类[J].光谱学与光谱分析,2010,30(3):838-841. Liu R,Jin H M,Duan F Q.Spectral classification based on Bayes decision[J].Spectroscopy and Spectral Analysis,2010,30(3):838-841.
[14]  刘国庆,熊红,黄顺吉,等.多视极化合成孔径雷达图象的分类和极化通道优化[J].电子科学学刊,1998,20(1):56-61. Liu G Q,Xiong H,Huang S J,et al.Classification of multi-look polarimetric SAR imagery and polarization channel optimization[J].Journal of Electronics and Information Technology,1998,20(1):56-61.
[15]  岳晋,杨汝良,宦若虹.贝叶斯理论在多波段SAR图像融合分类中的应用[J].中国科学院研究生院学报,2008,25(2):257-263. Yue J,Yang R L,Huan R H.Application of Bayesian theory in multiband SAR image fusion for classification[J].Journal of the Graduate School of the Chinese Academy of Sciences,2008,25(2):257-263.
[16]  杨文,颜卫,涂尚坦,等.基于贝叶斯信息准则的极化干涉SAR图像非监督分类[J].电子与信息学报,2012,34(11):2628-2634. Yang W,Yan W,Tu S T,et al.An unsupervised classification method of polinSAR image based on Bayesian information criterion[J].Journal of Electronics and Information Technology,2012,34(11):2628-2634.
[17]  Hospedales T M,Vijayakumar S.Structure inference for Bayesian multisensor scene understanding[J].IEEE Transactions on pattern analysis and machine intelligence,2008,30(12):2140-2157.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133