MSFusion, A End-to-end SAR And Optical Image Fusion Method

With the advancement of remote sensing technology, the application fields of remote sensing images have become increasingly extensive. SAR images contain abundant texture information, while optical images contain a wealth of contour information. Combining the advantages of both can result in images with richer information content. In this paper, we propose a CNN-based SAR image and optical image fusion model, named MSFusion, and compare it with mainstream image fusion algorithms, demonstrating promising results.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icites62688.2024.10777434
Primary Topic
Advanced Image Fusion Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MSFusion, A End-to-end SAR And Optical Image Fusion Method

Di Lin, Zongxiao Tao, Can Yu, Jikang Mo et al.
Advanced Image Fusion Techniques
article

MSFusion, A End-to-end SAR And Optical Image Fusion Method

Di Lin, Zongxiao Tao, Can Yu, Jikang Mo, Hao Lin, Zongbo Hao
article en

Abstract

With the advancement of remote sensing technology, the application fields of remote sensing images have become increasingly extensive. SAR images contain abundant texture information, while optical images contain a wealth of contour information. Combining the advantages of both can result in images with richer information content. In this paper, we propose a CNN-based SAR image and optical image fusion model, named MSFusion, and compare it with mainstream image fusion algorithms, demonstrating promising results.

University of Electronic Science and Technology of China (CN)
Natural Science Foundation of Sichuan Province
Openalex Percentile: Top 66%
Advanced Image Fusion Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.