论文标题
基于XAI的性能保留自适应图像压缩以进行有效的卫星通信
XAI based Performance Preserving Adaptive Image Compression for Efficient Satellite Communication
论文作者
论文摘要
在跨国合作的时代，收集和分析卫星图像变得越来越容易，更重要。卫星图像分析的典型过程包括将笨重的图像数据从卫星传输到地面，从而产生明显的开销。为了减少开销的量，同时对分析结果没有损害，我们在本文中提出了一种新型的图像压缩方案RDIC。 RDIC是一种基于推理的图像压缩方案，它根据从分析模型本身获得的像素重要性得分来压缩图像。从实验结果中我们表明，我们的RDIC方案成功地捕获了图像中的重要区域，显示高压缩率和低精度损失。
In the era of multinational cooperation, gathering and analyzing the satellite images are getting easier and more important. Typical procedure of the satellite image analysis include transmission of the bulky image data from satellite to the ground producing significant overhead. To reduce the amount of the transmission overhead while making no harm to the analysis result, we propose a novel image compression scheme RDIC in this paper. RDIC is a reasoning based image compression scheme that compresses an image according to the pixel importance score acquired from the analysis model itself. From the experimental results we showed that our RDIC scheme successfully captures the important regions in an image showing high compression rate and low accuracy loss.
