Research on image registration and enhancement of GF-4 sequence images in low SNR small target detection

Ting Lin, Xiaomei Chen*, Zhiwei Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With high time resolution and wide coverage, GF-4 camera can achieve high-frequency repeated monitoring over a wide range of areas within a certain period of time. However, there are some problems of its sequence images, such as shaking, non-prominent ship targets and insufficient brightness in sea area, which are not conducive to the detection of moving ships. Thus, a hierarchical registration algorithm combining SURF and SIFT, and an image enhancement algorithm combining wavelet threshold denoising and Top-hat filtering was proposed to solve these problems. Matlab's experiment proves that the processed image can almost only contain the highlighted target and the black background, which improves the accuracy of subsequent ship monitoring.

Original languageEnglish
Title of host publicationAOPC 2020
Subtitle of host publicationOptical Sensing and Imaging Technology
EditorsXiangang Luo, Yadong Jiang, Jin Lu, Dong Liu
PublisherSPIE
ISBN (Electronic)9781510639553
DOIs
Publication statusPublished - 2020
Event2020 Applied Optics and Photonics China: Optical Sensing and Imaging Technology, AOPC 2020 - Xiamen, China
Duration: 25 Aug 202027 Aug 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11567
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2020 Applied Optics and Photonics China: Optical Sensing and Imaging Technology, AOPC 2020
Country/TerritoryChina
CityXiamen
Period25/08/2027/08/20

Keywords

  • GF-4
  • SIFT
  • SURF
  • Ship target
  • Top - hat filtering
  • Wavelet threshold

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Lin, T., Chen, X., & Zhao, Z. (2020). Research on image registration and enhancement of GF-4 sequence images in low SNR small target detection. In X. Luo, Y. Jiang, J. Lu, & D. Liu (Eds.), AOPC 2020: Optical Sensing and Imaging Technology Article 1156716 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11567). SPIE. https://doi.org/10.1117/12.2576396