Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT

被引：153
|
作者：
Fan, Bin [1 ]
Huo, Chunlei [1 ]
Pan, Chunhong [1 ]
Kong, Qingqun [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2013年 / 10卷 / 04期
基金：
美国国家科学基金会;
关键词：
Optical and SAR image registration; remote sensing; scale-invariant feature transform (SIFT); spatial consistent matching (SCM); synthetic aperture radar (SAR); OPERATOR;
D O I：
10.1109/LGRS.2012.2216500
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Although feature-based methods have been successfully developed in the past decades for the registration of optical images, the registration of optical and synthetic aperture radar (SAR) images is still a challenging problem in remote sensing. In this letter, an improved version of the scale-invariant feature transform is first proposed to obtain initial matching features from optical and SAR images. Then, the initial matching features are refined by exploring their spatial relationship. The refined feature matches are finally used for estimating registration parameters. Experimental results have shown the effectiveness of the proposed method.
引用
收藏
页码：657 / 661
页数：5
相关论文
共 50 条
  • [41] Automatic registration of Unmanned Aerial Vehicle remote sensing images based on an improved SIFT algorithm
    Lei, Tianjie
    Li, Lin
    Kan, Guangyuan
    Zhang, Zhongbo
    Sun, Tao
    Zhang, Xiaolei
    Ma, Jianwei
    Huang, Shifeng
    [J]. EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2016), 2016, 10033
  • [42] An improved model for automatic feature-based registration of SAR and SPOT images
    Dare, P
    Dowman, I
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2001, 56 (01) : 13 - 28
  • [43] Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images
    Palenichka, Roman M.
    Zaremba, Marek B.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (07): : 2864 - 2879
  • [44] OS-SIFT: A Robust SIFT-Like Algorithm for High-Resolution Optical-to-SAR Image Registration in Suburban Areas
    Xiang, Yuming
    Wang, Feng
    You, Hongjian
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (06): : 3078 - 3090
  • [45] REGISTRATION FOR SAR AND OPTICAL IMAGES BASED ON STRAIGHT LINE FEATURES AND MUTUAL INFORMATION
    Xiong, Boli
    Li, Wenchao
    Zhao, Lingjun
    Lu, Jun
    Zhang, Xiaoqiang
    Kuang, Gangyao
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2582 - 2585
  • [46] Adaptive Registration for Optical and SAR Images With a Scale-Constrained Matching Method
    Liang, Yuan
    Su, Tao
    Lv, Ning
    Guo, Jiao
    Liu, Jiangtao
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [47] Automatic Registration Algorithm for SAR and Optical Images Based on Shearlet and Sparse Representation
    Zhao, Xiaoru
    Wu, Yan
    Hu, Xin
    Liu, Xingyu
    Li, Ming
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
  • [48] A Robust Two-Stage Registration Algorithm for Large Optical and SAR Images
    Xiang, Yuming
    Jiao, Niangang
    Wang, Feng
    You, Hongjian
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [49] Automatic and accurate registration of VHR optical and SAR images using a quadtree structure
    Han, Youkyung
    Byun, Younggi
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (09) : 2277 - 2295
  • [50] Robust registration method of SAR and optical remote sensing Images based on cascade
    Wang Feng
    You Hong-Jian
    [J]. JOURNAL OF INFRARED AND MILLIMETER WAVES, 2015, 34 (04) : 486 - 492
12345