跳到主要导航 跳到搜索 跳到主要内容

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

科研成果: 期刊稿件会议文章同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)8106-8109
页数4
期刊International Geoscience and Remote Sensing Symposium (IGARSS)
DOI
出版状态已出版 - 2023
已对外发布
活动2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, 美国
期限: 16 7月 202321 7月 2023

学术指纹

探究 'BLIND FUSION ALGORITHM FOR HETEROGENOUS IMAGES OF MONO-BI-STATIC SAR AND OPTICAL SYSTEMS' 的科研主题。它们共同构成独一无二的指纹。

引用此