STRUCTURE PRESERVING BILATERAL FILTERING FOR POLSAR DATA

被引:0
|
作者
Yang, Xuezhi [1 ]
Ye, Ming [1 ]
Wu, Xiu [1 ]
Yang, Zhao [1 ]
机构
[1] Hefei Univ Technol, Sch Comp & Informat, Hefei, Anhui, Peoples R China
关键词
Polarimetric SAR; bilateral filtering; scattering mechanism; structure preserving; SPECKLE REDUCTION; SCATTERING-MODEL; SAR;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper proposes a structure preserving bilateral filtering (SPBF) for Polarimetric SAR (PolSAR) image. By adopting the edge structural characteristics and surface scattering features, the performance of filter is improved and the loss of structure is reduced. To begin with, the edge direction is determined by edge templates and an adaptive direction window is selected in span image. Then each scattering mechanism of the pixel is attained by Freeman-Durden decomposition. The surface scattering map is obtained by statistic distribution characteristics of the polarimetric data. Finally, the filtering mask, combining the cluster map with adapted direction window, is introduced for an improved bilateral filtering. Experiments illustrate the effectiveness of the proposed method. The speckle is efficiently reduced and the image edge, strong point target and polarimetric scattering characteristics can be further preserved.
引用
收藏
页码:5846 / 5850
页数:5
相关论文
共 50 条
  • [41] Electromagnetic Simulation for Estimation of Forest Vertical Structure Using PolSAR Data
    Soliman S.A.M.
    Hussein K.F.A.
    Ammar A.-E.-H.A.
    Soliman, Shimaa A. M. (megahed.shaimaa@yahoo.com), 1600, Electromagnetics Academy (90): : 129 - 150
  • [42] Structure preserving data abstractions for statecharts
    Helke, S
    Kammüller, F
    FORMAL TECHNIQUES FOR NEWTOWRKED AND DISTRIBUTED SYSTEMS - FORTE 2005, 2005, 3731 : 305 - 319
  • [43] Similarity-Intensity Joint PolSAR Speckle Filtering
    Wang, Yan
    Yang, Jian
    Li, Jingwen
    2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR), 2016,
  • [44] Improved Denoising of Structural Vibration Data Employing Bilateral Filtering
    Liu, Ning
    Schumacher, Thomas
    SENSORS, 2020, 20 (05)
  • [45] An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration
    Papiez, Bartlomiej W.
    Heinrich, Mattias P.
    Fehrenbach, Jerome
    Risser, Laurent
    Schnabel, Julia A.
    MEDICAL IMAGE ANALYSIS, 2014, 18 (08) : 1299 - 1311
  • [46] Privacy-preserving hybrid collaborative filtering on cross distributed data
    Ibrahim Yakut
    Huseyin Polat
    Knowledge and Information Systems, 2012, 30 : 405 - 433
  • [47] Privacy-preserving hybrid collaborative filtering on cross distributed data
    Yakut, Ibrahim
    Polat, Huseyin
    KNOWLEDGE AND INFORMATION SYSTEMS, 2012, 30 (02) : 405 - 433
  • [48] Path-Based Analysis for Structure-Preserving Image Filtering
    Xu, Lijuan
    Wang, Fan
    Dempere-Marco, Laura
    Wang, Qi
    Yang, Yan
    Hu, Xiaopeng
    JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2020, 62 (02) : 253 - 271
  • [49] Structure-preserving image filtering with soft power iteration clustering
    Zeng, Lanling
    Dong, Wenzheng
    Hui, Hongjun
    Wang, Xinyu
    Yang, Yang
    SIGNAL IMAGE AND VIDEO PROCESSING, 2024, : 7763 - 7777
  • [50] Structure-preserving spectral reflectance estimation using guided filtering
    Sippel, Frank
    Seiler, Juergen
    Genser, Nils
    Kaup, Andre
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2020, 37 (11) : 1695 - 1710