AN UNSUPERVISED CHANGE DETECTION BASED ON TEST STATISTIC AND Kt FROM MULTI-TEMPORAL AND FULL POLARIMETRIC SAR IMAGES

被引：2
|
作者：
Zhao, J. Q. [1 ]
Yang, J. [1 ]
Li, P. X. [1 ]
Liu, M. Y. [1 ]
Shi, Y. M. [1 ]
机构：
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China
来源：
XXIII ISPRS CONGRESS, COMMISSION VII | 2016年 / 41卷 / B7期
基金：
中国国家自然科学基金;
关键词：
Change Detection; Multi-temporal; Synthetic Aperture Radar (SAR); Test Statistic; Kittler and Illingworth (KI);
D O I：
10.5194/isprsarchives-XLI-B7-611-2016
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Accurate and timely change detection of Earth's surface features is extremely important for understanding relationships and interactions between people and natural phenomena. Many traditional methods of change detection only use a part of polarization information and the supervised threshold selection. Those methods are insufficiency and time-costing. In this paper, we present a novel unsupervised change-detection method based on quad-polarimetric SAR data and automatic threshold selection to solve the problem of change detection. First, speckle noise is removed for the two registered SAR images. Second, the similarity measure is calculated by the test statistic, and automatic threshold selection of KI is introduced to obtain the change map. The efficiency of the proposed method is demonstrated by the quad-pol SAR images acquired by Radarsat-2 over Wuhan of China
引用
收藏
页码：611 / 615
页数：5
相关论文
共 50 条
  • [1] Study on Change Detection for Multi-temporal Polarimetric SAR Images
    Zhang Juntuan
    Huang Shiqi
    Li Zhenfu
    Lin Jun
    [J]. 2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 1182 - +
  • [2] UNSUPERVISED CHANGE DETECTION IN BUILT-UP AREAS BY MULTI-TEMPORAL POLARIMETRIC SAR IMAGES
    Pirrone, Davide
    De, Shaunak
    Bhattacharya, Avik
    Bruzzone, Lorenzo
    Bovolo, Francesca
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4554 - 4557
  • [3] An unsupervised approach based on Riemannian metric to change detection on multi-temporal SAR images
    Li, Na
    Liu, Fang
    Chen, Zengping
    [J]. IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XX, 2014, 9244
  • [4] A COMPOUND POLARIMETRIC-TEXTURAL APPROACH FOR UNSUPERVISED CHANGE DETECTION IN MULTI-TEMPORAL FULL-POL SAR IMAGERY
    Pirrone, Davide
    Pham, Minh-Tan
    [J]. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 316 - 319
  • [5] KERNEL-BASED UNSUPERVISED CHANGE DETECTION OF AGRICULTURAL LANDS USING MULTI-TEMPORAL POLARIMETRIC SAR DATA
    Fazel, M. A.
    Homayouni, S.
    Amini, J.
    [J]. SMPR CONFERENCE 2013, 2013, 40-1-W3 : 169 - 173
  • [6] A NOVEL CHANGE DETECTION FRAMEWORK BASED ON DEEP LEARNING FOR THE ANALYSIS OF MULTI-TEMPORAL POLARIMETRIC SAR IMAGES
    De, Shaunak
    Pirrone, Davide
    Bovolo, Francesca
    Bruzzone, Lorenzo
    Bhattacharya, Avik
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 5193 - 5196
  • [7] Bayesian change detection for multi-temporal SAR images
    Coulon, M
    Tourneret, AY
    [J]. 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 1285 - 1288
  • [8] Change detection based on polarimetric test statistic for multi-polarization SAR imagery
    Wu, Fan
    Chen, Xi
    Wang, Chao
    Zhang, Hong
    Zhang, Bo
    [J]. Dianbo Kexue Xuebao/Chinese Journal of Radio Science, 2009, 24 (01): : 120 - 125
  • [9] Research on change detection method in multi-temporal polarimetric SAR imagery
    Zhao, Jinqi
    [J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2019, 48 (04):
  • [10] Multi-temporal SAR Images Change Detection Based on Nonsubsampled Contourlet Transform
    Lei, Lin
    Sui, Yinling
    Zou, Huanxin
    Hou, Yi
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTER VISION IN REMOTE SENSING, 2012, : 377 - 382
12345