Dual-Branch Multi-Level Feature Aggregation Network for Pansharpening

Abstract

Dear Editor, In pansharpening task, the most existing deep-learning-based pan-sharpening methods fail to fully utilize the different level features, inevitably leading to spectral or spatial distortions. To address this challenge, in this letter, we propose a dual-branch multi-level feature aggregation network for pansharpening (DMFANet). The experimental results on the WorldView-II (WV-II) and QuickBird (QB) dataset confirmed the notable superiority of our method over the current state-of-the-art methods from quantitative and qualitative point of view. The source code is available at https://github.com/Gui-Cheng/DMFANet.