A fusion algorithm of SAR and panchromatic remote sensing images for intertidal extraction

Wenchao Li; Sheng Liu; Hao Ding; Liang He; Zhenhua Chen; Qingliang Li; Kaichuang Xue

doi:10.1117/12.3033618

13 June 2024 A fusion algorithm of SAR and panchromatic remote sensing images for intertidal extraction

Wenchao Li, Sheng Liu, Hao Ding, Liang He, Zhenhua Chen, Qingliang Li, Kaichuang Xue

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131800Q (2024) https://doi.org/10.1117/12.3033618
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Intertidal terrain extraction based on satellite remote sensing images is of great military application and civilian value. In this paper, we propose a fusion algorithm based on SAR and optical remote sensing image to enhance intertidal feature. With the SAR and panchromatic images from different phases, we use an improved shift-invariant discrete wavelet transform algorithm to obtain higher quality images that can not only highlight the shape of the intertidal zone, but also highlight the characteristics of the coastline. The real data experiment and comparison experiments with other algorithms show that the algorithm proposed in this paper is effective in enhancing the features of the intertidal zone.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenchao Li, Sheng Liu, Hao Ding, Liang He, Zhenhua Chen, Qingliang Li, and Kaichuang Xue "A fusion algorithm of SAR and panchromatic remote sensing images for intertidal extraction", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131800Q (13 June 2024); https://doi.org/10.1117/12.3033618

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