DOI: 10.1016/j.jag.2017.07.011
Scopus记录号: 2-s2.0-85032514153
论文题名: Scattering property based contextual PolSAR speckle filter
作者: Mullissa A ; G ; , Tolpekin V ; , Stein A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 63 起始页码: 78
结束页码: 89
语种: 英语
英文关键词: Polarimetric synthetic aperture RADAR (PolSAR)
; Speckle filtering
Scopus关键词: filter
; image classification
; pixel
; satellite imagery
; scattering
; speckle
; synthetic aperture radar
英文摘要: Reliability of the scattering model based polarimetric SAR (PolSAR) speckle filter depends upon the accurate decomposition and classification of the scattering mechanisms. This paper presents an improved scattering property based contextual speckle filter based upon an iterative classification of the scattering mechanisms. It applies a Cloude-Pottier eigenvalue-eigenvector decomposition and a fuzzy H/α classification to determine the scattering mechanisms on a pre-estimate of the coherency matrix. The H/α classification identifies pixels with homogeneous scattering properties. A coarse pixel selection rule groups pixels that are either single bounce, double bounce or volume scatterers. A fine pixel selection rule is applied to pixels within each canonical scattering mechanism. We filter the PolSAR data and depending on the type of image scene (urban or rural) use either the coarse or fine pixel selection rule. Iterative refinement of the Wishart H/α classification reduces the speckle in the PolSAR data. Effectiveness of this new filter is demonstrated by using both simulated and real PolSAR data. It is compared with the refined Lee filter, the scattering model based filter and the non-local means filter. The study concludes that the proposed filter compares favorably with other polarimetric speckle filters in preserving polarimetric information, point scatterers and subtle features in PolSAR data. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80009
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth Observation Science, Faculty of Geoinformation Science and Earth Observation, University of Twente, Enschede, Netherlands
Recommended Citation:
Mullissa A,G,, Tolpekin V,et al. Scattering property based contextual PolSAR speckle filter[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,63