S2Transformer:探索远程传感图像中的稀疏性,以获得高效的超级分辨率
Zicheng Zhang1, Hongke Xu1, Shan Lin1
1School of Electronics and Control Engineering, Chang'an University, Xi'an 710000, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
本研究介绍了一种高效的远程传感图像超分辨率 (SR) 方法,使用动态Sparse Swin变压器 (S2Transformer). 这种方法显著提高了细节恢复和边缘度,同时降低了计算负载.
科学领域:
- 地理信息系统 (GIS) 是一个地理信息系统.
- 环境科学 环境科学
- 计算机视觉 计算机视觉
背景情况:
- 遥感图像超分辨率 (SR) 对于分析至关重要,但计算密集.
- 现有的高效SR方法不足以探索遥感数据的稀疏性.
- 资源有限的设备面临着当前SR技术的挑战.
研究的目的:
- 为远程传感图像开发一种高效的SR方法.
- 为了解决现有的SR方法的计算强度.
- 为了利用遥感数据的稀疏性特征.
主要方法:
- 引入了一个动态的Sparse Swin变压器 (S2变压器),以实现高效的SR.
- 提出了一个动态稀疏面具模块来识别重要的图像区域.
- 开发了一个动态稀疏变压器,以将计算集中在关键区域.
主要成果:
- 该S2变压器方法显著优于现有的方法.
- 在细节恢复和边缘度方面实现了卓越的性能.
- 在基准数据集上证明了增强的稳定性和更高的PSNR/SSIM得分.
结论:
- 拟议的S2变压器为远程传感SR提供了一种高效有效的解决方案.
- 动态稀疏度分配可以在不影响性能的情况下降低计算负载.
- 该方法适用于资源有限的设备上的应用.
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