基于门控循环单元RNN的非负Tucker分解卫星图像压缩

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI:10.1109/TEECCON54414.2022.9854846

K. S. Himaja Chowdary, M. Kalaiyarasi, Swaminathan Saravanan

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引用次数: 2

摘要

卫星图像通常是体积的，需要大量的存储和传输空间和时间。本文提出了一种基于门控循环单元RNN的NTD卫星图像压缩方法。利用RNN将光谱传感器转化为小尺度光谱传感器。最后的压缩执行熵编码。与小波域的标准NTD相比，该方法的计算效率提高了56.40%，而PSNR仅降低了-0.58 dB。

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Gated Recurrent Unit RNN based Non-negative Tucker Decomposition for Satellite Image Compression

Satellite images are often volumetric, requiring a lot of storage and transmission space and time. In this paper, a Gated Recurrent Unit RNN based NTD method has been proposed for satellite image compression. RNN is used to convert spectral sensor into small scale spectral sensor. Entropy encoding is performed for final compression. The proposed method is compared to the standard NTD in the wavelet domain, the computing efficiency is improved by 56.40% while compromising just -0.58 dB of PSNR.

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来源期刊

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)

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