Improved statistic-empirical topographic correction model and its application

doi:10.6046/gtzyyg.2013.04.30

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Abstract

In the relief area, solar radiation is different in different parts of the surface, resulting in difficulty in identification and classification of features. Topographic correction thus becomes a must for improving the accuracy of remote sensing image classification. The traditional statistic-empirical terrain correction model is an empirical correction model based on statistics, which rotates solar radiation received by pixels on the slope to a horizontal position by the corresponding linear regression relationship so as to achieve the purpose of correction. However, the different angles of the slope, i.e., slope differences, have a certain impact on its correction accuracy. This paper improves the original model by slope grading: first of all, the study area is classified into different slope grades, then different slope grades are rotated to a horizontal position by the corresponding linear regression relationship, and the original model and the improved model are used to correct the study area based on ASTER image. The results show that the improved statistic-empirical terrain correction model can both remove the influence of terrain, making the same features have the same spectral information in an image, and keep the spectral characteristics of the feature itself, thus obtaining better correction effects.

Keywords ZY-3 satellite RPC system error block adjustment

TP79

Issue Date: 21 October 2013

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	HAN Jie
	GU Xingfa
	YU Tao
	XIE Yong
	ZHENG Fengjie
	ZHANG Feng

Cite this article:

HAN Jie,GU Xingfa,YU Tao, et al. Improved statistic-empirical topographic correction model and its application[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 187-191.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.04.30 OR https://www.gtzyyg.com/EN/Y2013/V25/I4/187

[1] 黄博,徐丽华.基于改进型Minnaert 地形校正模型的应用研究[J].遥感技术与应用,2012,27(2):183-188. Huang B,Xu L H.Applied research of topographic correction based on the improved minnaert model[J].Remote Sensing Technology and Application,2012,27(2):183-188.

[2] 李欣欣,张立新,蒋玲梅.山区地形对被动微波遥感影响的研究进展[J].国土资源遥感,2011,23(3):8-13. Li X X,Zhang L X,Jiang L M.Advances in the study of mountainous relief effects on passive microwave remote sensing[J].Remote Sensing for Land and Resources,2011,23(3):8-13.

[3] 李淼淼.ASTER数据地质异常信息遥感研究[D].长春:吉林大学,2012. Li M M.Remote sensing research on geological anomaly information based on ASTER data[D].Changchun:Jilin University,2012.

[4] 秦春,王建.CIVCO地形校正模型的改进及其应用[J].遥感技术与应用,2008,23(1):82-88. Qin C,Wang J.Improved CIVCO topographic correction model and application[J].Remote Sensing Technology and Application,2008,23(1):82-88.

[5] 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):467-477. Gao Y N,Zhang W C.Comparison test and research progress of topographic correction on remotely sensed data[J].Geographical Research,2008,27(2):467-477.

[6] 陈尧东.基于支持向量机的遥感矿化蚀变信息提取方法研究[D].长沙:中南大学,2007. Chen Y D.Research on an approach of extracting remote sensing altered rock's information by support vector machine[D].Changsha:Central South University,2007.

[7] 李晓宁,王纪华,刘良云,等.基于高光谱遥感影像的大气纠正用AVIRIS数据评价大气纠正模块FLAASH[J].遥感技术与应用,2005,20(4):393-398. Li X N,Wang J H,Liu L Y,et al.Atmospheric correction of hyper-spectral imagery:Evaluation of the FLAASH algorithm with AVRIS data[J].Remote Sensing Technology and Application,2005,20(4):393-398.

[8] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003. Zhao Y S.The principle and method of analysis of remote sensing application[M].Beijing:Science Press,2003.

[9] 杨贵军,柳钦火.高分辨率星载遥感立体像对3D测量模型[J].地理与地理信息科学,2006,22(6):17-20. Yang G J,Liu Q H.Research on the model of satelite stereo-photogrammetry based on high resolution stereo images[J].Geography and Geo-information Science,2006,22(6):17-20.

[10] Eckert S,Kellenberger T,Itten K.Accuracy assessment of automatically derived digital elevation models from ASTER data in mountainous terrain[J].International Journal of Remote Sensing,2005,26(9):1943-1957.

[11] Toutin T.Three-dimensional topographic mapping with ASTER stereo data in rugged topography[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40 (10):2241-2247.

[12] Riano D,Chuvieco E,Salas J,et al.Assessment of different topographic correction in Landsat-TM data for mapping vegetation types[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(5):1056-1061.

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