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BLIND FUSION ALGORITHM FOR HETEROGENOUS IMAGES OF MONO-BI-STATIC SAR AND OPTICAL SYSTEMS

  • Ling Liu
  • , Yu Hai
  • , Yongfei Mao
  • , Zhongyu Li
  • , Junjie Wu
  • , Jianyu Yang
  • University of Electronic Science and Technology of China
  • China Aerospace Science and Technology Corporation

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The information obtained by single sensor is limited, so the fusion of multi-source images becomes the research focus. Monostatic SAR and bistatic SAR can obtain complementary scattering information from the same target, but the SAR image lacks color information resulting in limited visual effects. The optical image contains color information but it is difficult to achieve high resolution at the decimeter level due to the limitations of present optical cameras. Therefore, this paper proposes an algorithm to fuse monostatic and bistatic SAR image with optical image. First, the three images are registered, then the monostatic and bistatic images are stitched into a dual-channel image. Finally, the dual-channel SAR image is fused with optical image using a blind model-based fusion method. The fusion result combines the color information of optical image with the high-resolution and texture information of SAR image, which enhances the visual effect and readability, providing great convenience for subsequent applications. The fusion results of the experimental data show that the algorithm can effectively make the image information more comprehensive and accurate.

Original languageEnglish
Pages (from-to)8106-8109
Number of pages4
JournalInternational Geoscience and Remote Sensing Symposium (IGARSS)
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States
Duration: 16 Jul 202321 Jul 2023

Keywords

  • bistatic SAR
  • image fusion
  • image registration
  • Monostatic SAR
  • optical image

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