Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2013, Vol. 28 Issue (2): 258-262    DOI: 10.11873/j.issn.1004-0323.2013.2.258
    
An InSAR DEM Speckle Filtering Algorithm based on Iterative Gaussian Model
Wang Feng1,2,3,You Hongjian1,2,Fu Xingyu1,2
(1.Key Laboratory of Technology in Geo-spatial Information Processing and Application System,IECAS,
Beijing 100190,China;2.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China;
3.University of Chinese Academy of Sciences,Beijing 100049,China)
Download:  PDF (1174KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

A speckle noise filtering algorithm based on iterative Gaussian model is proposed.Firstly,the Noise Marker Matrix (NMM) is calculated using the DEM data,where the pixels are not fit the Gaussian distribution were marked as noise.And then,the true height value can be estimated using the quadratic surface fitting based on the statistical properties of its neighborhood window.Finally,the proposed approach is carried out by InSAR DEM data.The results on actual DEM data show that the proposed algorithm can filter the noise data without disturbing the correct data.In comparison,the filtering results of the low-pass filter,the median filter and the sigma filter algorithm,the proposed algorithm can get the best filtering result.

Key words:  InSAR DEM filtering      Noise Marker Matrix (NMM)      Iterative Gaussian model      Surface Fitting     
Received:  23 March 2012      Published:  24 June 2013
P 237.3  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Wang Feng
You Hongjian
Fu Xingyu

Cite this article: 

Wang Feng,You Hongjian,Fu Xingyu. An InSAR DEM Speckle Filtering Algorithm based on Iterative Gaussian Model. Remote Sensing Technology and Application, 2013, 28(2): 258-262.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2013.2.258     OR     http://www.rsta.ac.cn/EN/Y2013/V28/I2/258

[1]Hagberg J O,Ulander L.On the Optimization of Interferometrics SAR for Topographic Mapping[J].IEEE Transactions on Geoscience and Remote Sensing,1993,31(1):303-306.

[2]Liao Mingsheng,Lin Hui.Synthetic Aperture Radar Interferometry[M].Beijing:Surveying and Mapping Press,2003.30-40.[廖明生,林珲.雷达干涉测量—原理与信号处理基础[M].北京:测绘出版社,2003:30-40.]

[3]Guo Huadong.Theory and Application of Earth Observation[M].Beijing:Science press,2002:12-14.[郭华东.雷达对地观测理论与应用[M].北京:科学出版社,2002:12-14.]

[4]Pang Yong,Li Zengyuan,Chen Erxue.InSAR Technology and Its Application to Estimate Stand Average Height[J].Journal of Remote Sensing,2003,7(1):9-13.[庞勇,李增元,陈尔学.干涉雷达技术用于林分高估测[J].遥感学报,2003,7(1):9-13.]

[5]Lanari R.Generation of Digital Elevation Models by Using SIR-C/X-SAR Multi-frequency Two-pass Interferometry:the Etna Case Study[J].IEEE Transactions on Geoscience and Remote Sensing,1996,34(5):1097-1115.

[6]Wang Chao,Zhang Hong,Liu Zhi.Spaceborne InSAR Interferometry[M].Beijing:Science Press,2002:32-36.[王超,张红,刘智.星载合成孔径雷达干涉测量[M].北京:科学出版社,2002:32-36.]

[7]Zhang Chao,Zhao Chunjiang,Li Cunjun,et al.Interpretation of InSAR DEM Error Patch with Kriging Interpolation based on Spatial Statistics[J].Journal of Remote Sensing,2005,9(1):3-7.[张超,赵春江,李存军,等.应用Kriging插值方法插补干涉雷达DEM奇异值斑块[J].遥感学报,2005,9(1):3-7.]

[8]Goldstein R M,Zebker H A.Satellite Radar Interferometry:Two Dimensional Phase Unwrapping[J].Radio Science,1988,23(4):713-720.

[9]Zhang Jingyi,Lei Bin,Liu Tuanjie.A New Spatial Method of SAR Intensity Image Speckle Reduction[J].Remote Sensing Technology and Application,2012,27(4):523-529.[张静怡,雷斌,刘团结.一种新型的空域SAR图像相干斑抑制方法[J].遥感技术与应用,2012,27(4):523-529.]

No Suggested Reading articles found!