Map-drift Autofocus and Scene Stabilization for Video-SAR

被引:0
|
作者
Linnehan, Robert [1 ]
Miller, John [1 ]
Asadi, Ayman [1 ]
机构
[1] Gen Atom Aeronaut Syst Inc, San Diego, CA 92127 USA
关键词
autofocus; map-drift; cross correlation; motion measurement error; synthetic aperture radar; video-SAR;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Onboard video-SAR systems are susceptible to blurring due to motion measurement errors during the integration time required to process each frame. Established techniques like Phase Gradient Autofocus can render sharp video but need to have the azimuth dimension aligned with one of the axes of each frame. Video-SAR systems that use backprojection typically take advantage of sub-aperture processing and form images on a fixed ground coordinate system. As such the azimuth dimension rotates through the frames according to the aspect angle of the radar. For these cases we have extended the concept of map-drift to video-SAR by registering sub-images to the aperture center sub-image before coherently accumulating them into a fully resolved image. Furthermore, inter-frame drift caused by the motion measurement system can be measured by means of a cross-correlation operation and fed back to the image formation process or motion measurement system in order to stabilize the ground reference point.
引用
收藏
页码:1401 / 1405
页数:5
相关论文
共 50 条
  • [41] SCENE-AWARE VIDEO STABILIZATION BY VISUAL FIXATION
    Kurz, Christian
    Thormaehlen, Thorsten
    Seidel, Hans-Peter
    2009 CONFERENCE FOR VISUAL MEDIA PRODUCTION: CVMP 2009, 2009, : 1 - 6
  • [42] Elevation Spatial Variation Error Compensation in Complex Scene and Elevation Inversion by Autofocus Method in GEO SAR
    Chang, Faguang
    Li, Dexin
    Dong, Zhen
    Huang, Yang
    He, Zhihua
    REMOTE SENSING, 2021, 13 (15)
  • [43] RELAX-Based Autofocus Algorithm for High-Resolution Strip-Map SAR
    Ghaemi, Hirad
    Viberg, Mats
    Gekat, Frank
    Galletti, Michele
    Boerner, Thomas
    2009 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2009, : 476 - +
  • [44] Automatic video scene text detection based on saliency edge map
    Xiaodong Huang
    Multimedia Tools and Applications, 2019, 78 : 34819 - 34838
  • [45] Automatic video scene text detection based on saliency edge map
    Huang, Xiaodong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (24) : 34819 - 34838
  • [46] Structure-based improvement of scene warped locally in digital video stabilization
    Favorskaya, Margarita
    Buryachenko, Vladimir
    Tomilina, Anastasia
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS, 2017, 112 : 1062 - 1071
  • [47] S2-PCM: Super-Resolution Structural Point Cloud Matching for High-Accuracy Video-SAR Image Registration
    Xie, Zhikun
    Shi, Jun
    Zhou, Yihang
    Yang, Xiaqing
    Guo, Wenxuan
    Zhang, Xiaoling
    REMOTE SENSING, 2022, 14 (17)
  • [48] SAR Pixelwise Registration via Multiscale Coherent Point Drift With Iterative Residual Map Minimization
    Yu, Qiuze
    Wu, Pengjie
    Ni, Dawen
    Hu, Haibo
    Lei, Zhen
    An, Jiachun
    Chen, Wen
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [49] Frame rate computing and aggregation measurement toward QoS/QoE in Video-SAR systems for UAV-borne real-time remote sensing
    Khosravi, Mohammad R.
    Samadi, Sadegh
    JOURNAL OF SUPERCOMPUTING, 2021, 77 (12): : 14565 - 14582
  • [50] Frame rate computing and aggregation measurement toward QoS/QoE in Video-SAR systems for UAV-borne real-time remote sensing
    Mohammad R. Khosravi
    Sadegh Samadi
    The Journal of Supercomputing, 2021, 77 : 14565 - 14582