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首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >A new ADCS method based on guided filter for tea HSIs
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A new ADCS method based on guided filter for tea HSIs

机译：一种基于茶叶HSIS引导滤波器的新ADCS方法

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摘要

To improve the reconstructed performance of mass data storage, transmission and preserving spectral characteristics for tea hyperspectral images(HSIs), a new adaptive distributed compressive sensing method based on guided filter (ADCSGF) is proposed. According to the spectral characteristics of tea HSIs, all bands can be divided into different parts which can be further grouped with different band count. Bands of each group are compressed and reconstructed by distributed compressive sensing method, in which the adaptive bit stream allocation strategy based on the residual error is used to obtain the target bit rate for each non-key band and the key band is regarded as the guided filter band to improve the quality of reconstructed non-key bands in each group. The experimental results showed that ADCSGF can improve the subjective quality of image reconstruction and achieve at least a 1.5 dB higher peak signal-to-noise ratio (PSNR) of spectral dimension decorrelation method (SSDC) than that of distributed compressive sensing based on guided filter (DCSGF). ADCSGF can obtain better reconstructed spectral curve at the sampling rate of 0.1Bpp(Bytes per pixel) and achieve better normalized root mean square error (RMSE) performance at the sampling rate from 0.2Bpp to 0.5Bpp than those of DCSGF.
机译：为了改善批量数据存储的重建性能，提出了一种基于引导滤波器（ADCSGF）的新的自适应分布式压缩感测方法来改进批量数据存储，传输和维护谱特性。根据茶叶HSI的光谱特性，所有带可以分为不同的部件，该部件可以进一步与不同的带数进行分组。通过分布式压缩感测方法压缩和重建每个组的频带，其中基于残差误差的自适应比特流分配策略用于获得每个非键频带的目标比特率，并且关键频带被视为引导过滤器频带以提高每个组中重建的非键槽的质量。实验结果表明，ADCSGF可以提高图像重建的主观质量，并达到基于引导滤波器的分布式压缩检测的至少1.5dB的峰值信噪比（PSNR） （DCSGF）。 ADCSGF可以以0.1bpp（每像素的字节）的采样率获得更好的重建光谱曲线，并在比DCSGF的0.2bpp到0.5bpp的采样率下实现更好的标准化均方根误差（RMSE）性能。

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