Article ; Online: Deep Learning-Based Technique for Remote Sensing Image Enhancement Using Multiscale Feature Fusion.
2024 Volume 24, Issue 2
Abstract: The present study proposes a novel deep-learning model for remote sensing image enhancement. It maintains image details while enhancing brightness in the feature extraction module. An improved hierarchical model named Global Spatial Attention Network ( ... ...
Abstract | The present study proposes a novel deep-learning model for remote sensing image enhancement. It maintains image details while enhancing brightness in the feature extraction module. An improved hierarchical model named Global Spatial Attention Network (GSA-Net), based on U-Net for image enhancement, is proposed to improve the model's performance. To circumvent the issue of insufficient sample data, gamma correction is applied to create low-light images, which are then used as training examples. A loss function is constructed using the Structural Similarity ( |
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Language | English |
Publishing date | 2024-01-21 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2052857-7 |
ISSN | 1424-8220 ; 1424-8220 |
ISSN (online) | 1424-8220 |
ISSN | 1424-8220 |
DOI | 10.3390/s24020673 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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