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English(EN) SpatialSR: Spatial Resolution-Centric Pipeline for Arbitrary-Scale Remote Sensing Super-Resolution

新的SpatialSR管道增强遥感图像超分辨率

研究人员推出SpatialSR,一种用于任意尺度遥感图像超分辨率的新型管道。与依赖相对比例因子的先前方法不同,SpatialSR使用绝对空间分辨率作为重建的关键先验,旨在与下游任务数据集对齐。该系统包含一个空间分辨率估计模块(SREM)和一个利用扩散模型的分辨率感知风格一致性模块(RSCM)。为了提高效率,采用了轨迹一致性(TC)损失,能够一步实现高质量重建。 AI

影响 这种新方法可以提高遥感图像分析在分类和分割等任务中的准确性和效率。

排序理由 这是一篇详细介绍图像超分辨率新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新的SpatialSR管道增强遥感图像超分辨率

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这是一篇详细介绍图像超分辨率新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yan Zhang, Runfeng Luo, Liangke Gao, Lin Yuan, Bin Xiao, Xinbo Gao ·

    SpatialSR:以空间分辨率为中心、面向任意尺度遥感超分辨率的管道

    arXiv:2611.13046v1 Announce Type: new Abstract: Although remote sensing image arbitrary-scale super-resolution (RSI-ASSR) methods support reconstruction at arbitrary or continuous scales, they predominantly condition on the relative scale factor and have not sufficiently investig…