[1]鲁 莹,姜广全,刘春锋*.高光谱遥感图像的地形校正和评价方法[J].山地学报,2016,(05):632-636.[doi:10.16089/j.cnki.1008-2786.000171]
　LU Ying,JIANG Guangquan,LIU Chunfeng.Terrain Correction and Evaluation Methods of Hyperspectral Remote Sensing Image[J].Mountain Research,2016,(05):632-636.[doi:10.16089/j.cnki.1008-2786.000171]
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高光谱遥感图像的地形校正和评价方法()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2016年05期
页码:
632-636
栏目:
山地信息技术
出版日期:
2016-09-30

文章信息/Info

Title:
Terrain Correction and Evaluation Methods of Hyperspectral Remote Sensing Image
文章编号:
1008-2786-(2016)5-632-05
作者:
鲁 莹1; 姜广全2; 刘春锋3*
1.61206部队,北京 100088;
2.61139部队,北京 100088;
3.96633部队,北京 100096
Author(s):
LU Ying1; JIANG Guangquan2; LIU Chunfeng3
1.Unit No. 61206,Beijing 100088,China;
2.Unit No. 61139,Beijing 100088,China;
3.Unit No. 96633,Beijing 100096,China
关键词:
高光谱遥感;  地形校正;  图像处理
Keywords:
Hyperspectral remote sensing;  terrain correction;  image processing
分类号:
TP751
DOI:
10.16089/j.cnki.1008-2786.000171
文献标志码:
A
摘要:
高光谱遥感具有光谱分辨率高,图谱合一的突出特点,在地质勘探和植被遥感等定量应用中,较全色和多光谱更有优势。然而目标区复杂的地形效应,是制约高光谱数据应用效果的诸多外界因素之一,利用地形校正模型消除地形影响,已成为目前高光谱遥感图像步入应用前的有效处理手段。目前的地形校正方法研究当中,遥感数据以多光谱居多,且校正效果的评价方法较之高光谱图像的特点也略显不足。通过朗伯体和非朗伯体假设的不同校正模型(C,SCS+C,Minnaert,Minnaert+SCS)对Hyperion遥感图像进行地形校正,并利用目视效果,分类标准差,目标反射率对比对校正结果分析评价,证明Minnaert+SCS模型最优,且评价方法合理,有效。
Abstract:
Hyperspectral remote sensing has prominent properfies of high spectral resolution and the combining between image and spectrum. In the quantitative application of geological exploration and vegetation remote sensing,which has advantages than panchromatic and multi spectral. However,the complex terrain effect is one of the many external factors that restrict the application of high spectral data. Terrain correction models are used to remove terrain effect,and it has become an effective method for application of hyperspectral remote sensing images. At present,among the methods of terrain correction,the multispectral images are used mostly,and the evaluation methods of the correction effect is slightly less due to the characteristic of hyperspectral image. In the paper,terrain correction for Hyperion image is used by different models(C,SCS+C,Minnaert,Minnaert+SCS)with Lambertian and non-Lambertian assumptions,and the visual effect,classification standard deviation,target reflectivity contrast are used to analyze and evaluate the correction result. Above all,the Minnaert+SCS model is best and the evaluation methods are reasonable and effective.

参考文献/References:

[1] Yongnian Gao,Wanchang Zhang. Comparison test and research progress of topographic correction on remotely sensed data[J]. Geographical Research,2008,27(2): 467-478[高永年,张万昌.遥感影像地形校正研究进展及其比较实验[J].地理研究,2008,27(2):467-478]
[2] Teillet P M,Guindon B,Goodenough D G.. On the Slope—aspect Correction of Muhispectral Scanner Data [J]. Canadian Journal of Remote Sensing,1982,8(2):84-106
[3] Gu D,Gillespie A. Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry[J]. Remote Sensing of Environment,1998,64: 166-175
[4] Soenen S A,Peddel D R,Coburn C A. SCS+C: A Modified Sun—canopy—sensor Topographic Correction in Forested Terrain [J]. IEEE Transaction on Geoscience and Remote Sensing. 2005,43(9): 2148-2159
[5] Smith J A,Lin T L,Ranson K J. The Lambertian Assumption and Landsat data[J],Photogrammetric Engineering and Remote Sensing. 1980,46(9): 1183-1189
[6] Reeder D H. Topographic correction of satellite images:theory and application[G]//Dissertation Abstracts International. Hanover,New Hampshire: Dartmouth College,2002:5123-5275
[7] Riano D,Chuvieco E,Salas J,et al. Assessment of Different Topographic Corrections in Landsat-TM Data for Mapping Vegetation Types(2003)[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(5): 1056-1061

相似文献/References:

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　CHEN Jianzhen,HE Chao,KOU Weili.Topographic Correction of Remote Sensing Image at High Mountain and Gorge Regions[J].Mountain Research,2016,(05):623.[doi:10.16089/j.cnki.1008-2786.000170]

备注/Memo

备注/Memo:
收稿日期(Received date):2015-11-21; 改回日期( Accepted):2016-01-04。
作者简介(Biography):鲁莹(1981-),性别:女,工程师,主要从事摄影测量与遥感方面的研究。[Lu Ying,(1981-), female,engineer,mainly engaged in photogrammetry and remote sensing.] E-mail: lu_ying1981@sina.com
*通信作者(Author for correspondence):刘春锋(1984-),性别:男,工程师,主要从事摄影测量与遥感方面的研究。[Liu Chunfeng,(1984-), male,engineer,mainly engaged in photogrammetry and remote sensing.] E-mail: lcfwm@163.com
更新日期/Last Update: 2016-09-30