Residual network based on entropy-anisotropy-alpha target decomposition for polarimetric SAR image classification

被引:3
|
作者
Ghazvinizadeh, Amir Hossein [1 ]
Imani, Maryam [1 ]
Ghassemian, Hassan [1 ]
机构
[1] Tarbiat Modares Univ, Fac Elect & Comp Engn, Image Proc & Informat Anal Lab, Tehran, Iran
关键词
Target decomposition; Convolutional network; Residual learning; Polarimetric SAR; Feature extraction; CONVOLUTIONAL NEURAL-NETWORK; SIGNATURES; FEATURES; DOMAIN;
D O I
10.1007/s12145-023-00944-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Convolutional residual networks have shown great success for classification of polarimetric synthetic aperture radar (PolSAR) images especially when the depth of network is increased and limited training samples are available. But, the ability of convolutional kernels is in extraction of spatial features from neighboring pixels. They may not sufficiently able to extract the radar's physical features from the PolSAR images. To deal with this difficulty, a residual network is proposed in this work. In addition to the feature maps extracted by convolutional kernels of previous layers, the proposed network injects the physical feature maps extracted by the H-A-alpha\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{\alpha }$$\end{document} decomposition to each addition layer. Moreover, the use of a convolutional autoencoder behind the residual blocks is proposed to reduce the speckle noise. The proposed method provides more accurate classification maps compared to conventional residual networks and several state-of-the-art methods. However, it needs more running time for implementation.
引用
收藏
页码:357 / 366
页数:10
相关论文
共 50 条
  • [1] Residual network based on entropy-anisotropy-alpha target decomposition for polarimetric SAR image classification
    Amir Hossein Ghazvinizadeh
    Maryam Imani
    Hassan Ghassemian
    Earth Science Informatics, 2023, 16 : 357 - 366
  • [2] Iterative classification of polarimetric SAR image based on the Freeman decomposition and scattering entropy
    Zhao Li-Wen
    Zhou Xiao-Guang
    Jiang Yong-Mei
    Kuang Gang-Yao
    2007 1ST ASIAN AND PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR PROCEEDINGS, 2007, : 473 - 476
  • [3] Object based analysis of polarimetric SAR data in alpha-entropy anisotropy decomposition using fuzzy classification by eCognition
    Benz, U
    Pottier, E
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 1427 - 1429
  • [4] Polarimetric SAR image classification based on target decomposition theorem and complex Wishart distribution
    Du, LJ
    Lee, JS
    IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 439 - 441
  • [5] Evaluation and Bias Removal of Multilook Effect on Entropy/Alpha/Anisotropy in Polarimetric SAR Decomposition
    Lee, Jong-Sen
    Ainsworth, Thomas L.
    Kelly, John P.
    Lopez-Martinez, Carlos
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (10): : 3039 - 3052
  • [6] Polarimetric SAR image classification based on polarimetric decomposition and neural networks theory
    Luo, Huanmin
    Tong, Ling
    Li, Xiaowen
    Chen, Yan
    Liu, Xiaofang
    Li, Min
    Zhang, Ying
    MIPPR 2007: PATTERN RECOGNITION AND COMPUTER VISION, 2007, 6788
  • [7] Polarimetric SAR data classification with Freeman entropy and anisotropy analysis
    Lang, F. (lfkupc@126.com), 2012, SinoMaps Press (41):
  • [8] A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification
    He, Chu
    Liu, Ming
    Liao, Zi-xian
    Shi, Bo
    Liu, Xiao-nian
    Xu, Xin
    Liao, Ming-sheng
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2012,
  • [9] A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification
    Chu He
    Ming Liu
    Zi-xian Liao
    Bo Shi
    Xiao-nian Liu
    Xin Xu
    Ming-sheng Liao
    EURASIP Journal on Advances in Signal Processing, 2012
  • [10] A classification algorithm based on Cloude decomposition model for fully polarimetric SAR image
    Xiang, Hongmao
    Liu, Shanwei
    Zhuang, Ziqi
    Zhang, Naixin
    6TH DIGITAL EARTH SUMMIT, 2016, 46