In this work, we propose a multi-branch fusion U-Net (MFU-Net) method for water area segmentation with multi-modality remote sensing images.
In this work, we propose a multi-branch fusion U-Net (MFU-Net) method for water area segmentation with multi-modality re- mote sensing images. The experimental ...
This work proposes an object-based approach to the foreground segmentation process of remotely sensed urban area images considering a joint consideration of ...
Jul 14, 2023 · A MULTI-BRANCH U-NET FOR WATER AREA SEGMENTATION WITH MULTI-MODALITY REMOTE SENSING IMAGES. Chenchen Zhang, Rongfang Wang, Xidian University ...
We construct the Water Index and Polarization Information (WIPI) multi-modality dataset and propose a multi-Modality Fusion and Gated multi-Filter U-Net (MFGF- ...
Missing: Branch | Show results with:Branch
Jan 13, 2024 · They can provide multi-band remote sensing images with high resolution and less noise. The disadvantage of spectral imaging is that a spectral ...
This paper introduces a hybrid network model that combines the advantages of CNN and Transformer, called MBT-UNet.
Remote sensing (RS) images play an indispensable role in many key fields such as environmental monitoring, precision agriculture, and urban resource ...
Jul 12, 2024 · This paper presents a novel network model named EU-Net, specifically designed to extract water bodies from high-resolution remote sensing images.
Dec 31, 2023 · Abstract: Water area segmentation in remote sensing is of great importance for flood monitoring. To overcome some challenges in this task, ...
Missing: Branch Images.