通过对象文本解进行远程传感图像生成
IEEE transactions on pattern analysis and machine intelligence
|August 15, 2025
概括
对象文本脱产生多样化和高准确度的遥感图像. OTD-GAN 方法可以在没有布局限制的情况下实现可定制的对象生成,从而提高图像质量和多样性.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 遥感 遥感 遥感 遥感
背景情况:
- 由于复杂的物体结构和多样化的位置,遥感图像对生成模型构成挑战.
- 传统的方法在生成的遥感图像中与对象忠实性和纹理作斗争.
- 在生成过程中,现有的对象级控制受到布局限制的限制.
研究的目的:
- 开发一种用于高对象保真,布局多样性和可定制的远程传感图像生成的新方法.
- 为了克服先前对象级控制生成方法中的布局限制的局限性.
- 通过改进对象控制来提高产生的遥感图像的质量和多样性.
主要方法:
- 拟议的对象文本解生成对抗网络 (OTD-GAN) 用于远程传感图像生成.
- 开发了一个对象文本解模块,以预测对象的语义一致的文本表示.
- 实现了一个对象文本语义增强模块,以将对象特定的文本与全局字幕组合起来.
主要成果:
- OTD-GAN实现了对象级控制,而不会对布局施加限制.
- 该方法通过整合解的对象文本表示来提高生成质量.
- 对NWPU-Captions和RSICD数据集的实验显示,与最先进的方法相比,它们的性能是领先的.
结论:
- OTD-GAN成功地实现了可定制的远程传感图像生成,具有高对象保真性和布局多样性.
- 将对象文本表示与全局标题脱是提高生成质量的有效方法.
- 拟议的方法为先进的遥感图像合成提供了灵活而强大的解决方案.
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