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A Research and Strategy of Remote Sensing Image Denoising Algorithms

2019-05-24 13:47:19
Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao

Abstract

Most raw data download from satellites are useless, resulting in transmission waste, one solution is to process data directly on satellites, then only transmit the processed results to the ground. Image processing is the main data processing on satellites, in this paper, we focus on image denoising which is the basic image processing. There are many high-performance denoising approaches at present, however, most of them rely on advanced computing resources or rich images on the ground. Considering the limited computing resources of satellites and the characteristics of remote sensing images, we do some research on these high-performance ground image denoising approaches and compare them in simulation experiments to analyze whether they are suitable for satellites. According to the analysis results, we propose two feasible image denoising strategies for satellites based on satellite TianZhi-1.

Abstract (translated)

大多数从卫星下载的原始数据都是无用的,导致传输浪费,一种解决方案是直接在卫星上处理数据,然后只将处理后的结果传输到地面。图像处理是卫星上的主要数据处理,本文主要研究图像去噪,这是卫星图像处理的基础。目前有许多高性能的去噪方法,但大多依赖于先进的计算资源或丰富的地面图像。考虑到卫星计算资源的有限性和遥感图像的特点,对这些高性能的地面图像去噪方法进行了研究,并在仿真实验中进行了比较,分析它们是否适合卫星。根据分析结果,提出了两种可行的基于天志1号卫星的卫星图像去噪策略。

URL

https://arxiv.org/abs/1905.10236

PDF

https://arxiv.org/pdf/1905.10236.pdf


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