国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2014年
2期
121-127
,共7页
王兴玲%胡德勇%唐宏%舒阳
王興玲%鬍德勇%唐宏%舒暘
왕흥령%호덕용%당굉%서양
Bayes决策%高效能机载SAR系统( HASARS)%全极化SAR%滑坡灾害
Bayes決策%高效能機載SAR繫統( HASARS)%全極化SAR%滑坡災害
Bayes결책%고효능궤재SAR계통( HASARS)%전겁화SAR%활파재해
Bayes decision%high-performance airborne synthetic aperture Radar system( HASARS)%polarime-tric SAR%landslide hazard
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-performance airborne synthetic aperture Radar system,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。
將雷達遙感技術應用于滑坡災害調查是地學應用的一箇重要方嚮,特彆是在多雲多雨地區。由中國科學院電子學研究所研髮的高效能機載SAR繫統( high-performance airborne synthetic aperture Radar system,HASARS)具備X波段雙基線榦涉和P波段全極化觀測的能力,是國內首傢多頻段多模式機載SAR繫統。從多極化機載SAR數據的特徵選擇和信息提取等角度,評估瞭不同極化模式組閤對滑坡信息提取精度的影響;併基于Bayes決策理論,提齣瞭多極化SAR圖像分類的特徵選擇方法。利用不同研究樣區的特徵選擇結果提取瞭多箇滑坡的範圍,提取精度均在90%以上。 HASARS的高空間分辨率及其穫取的高精度DEM和P波段全極化觀測,可以近實時、高精度地穫取地錶滑坡災害專題信息,在滑坡等減災救災領域具有廣闊的應用前景。
장뢰체요감기술응용우활파재해조사시지학응용적일개중요방향,특별시재다운다우지구。유중국과학원전자학연구소연발적고효능궤재SAR계통( high-performance airborne synthetic aperture Radar system,HASARS)구비X파단쌍기선간섭화P파단전겁화관측적능력,시국내수가다빈단다모식궤재SAR계통。종다겁화궤재SAR수거적특정선택화신식제취등각도,평고료불동겁화모식조합대활파신식제취정도적영향;병기우Bayes결책이론,제출료다겁화SAR도상분류적특정선택방법。이용불동연구양구적특정선택결과제취료다개활파적범위,제취정도균재90%이상。 HASARS적고공간분변솔급기획취적고정도DEM화P파단전겁화관측,가이근실시、고정도지획취지표활파재해전제신식,재활파등감재구재영역구유엄활적응용전경。
The application of the Radar remote sensing data to landslide investigation is of great importance, especially in cloudy and rainy areas. The high-performance airborne synthetic aperture Radar system( HASARS) developed by Institute of Electronics,Chinese Academy of Sciences,is the first home-made system characterized by multi-band and multi-mode,which has the capability of interferometric survey of X band and double antennas as well as polarimetric observation of P band. In this paper, the accuracies of landslide information extraction from polarimetric SAR data using different polarization combinations were investigated to evaluate the technology, methodology and implementation ideas of the landslide applications with the HASARS, and the focuses included two aspects: the methods of information extraction and the ways to select the feature. The results show that, based on Bayes decision theory and using the samples of landslide and non -landslide in the image to analyze and make decision, the method of feature selection could make classification of polarimetric SAR image satisfactorily. Based on the results of feature selection, the authors extracted the landslide regions from SAR images with supervised classification methods, with their accuracies higher than 90%. The airborne SAR system, with high spatial resolution, high precision DEM production and P band polarimetric observations, can obtain the thematic information of landslide surface more flexibly and precisely, and hence it has a broad prospect in the landslide disaster relief applications.