Vegetation field spectrum denoising via lifting wavelet transform

• 来源期刊: 煤炭学报（英文版）
• 年，卷（期）: 2008,（1）
• 页码范围: 131-135
• 页数: 5页
• 语种: 英文

摘要

Field spectrum pretreatment experiments were carried out, and denoising nu-merical experiment via lifting wavelet transform (LWT) was designed, and several famous test signals including blocks, bumps, heavy sine and doppler were processed via LWT in these experiment. And the field spectrum was processed via LWT. Experiments proved that SNRG-tO-SNRN curves have similar feature and they all have a peak. And SNRG of al-most all employed wavelets have higher value with SNRN between 0 and 20 dB. When sig-nal is at high SNR, the SNRG is very little, and the MSED of denoised signal became little by little. LWT is more suite to denoise the low SNR or heavy noise contaminated signals.Bior4.4 have wider SNRN interval for denoising comparing with other five wavelets, includ-ing haar, db6, sym6, bior2.2 and bior3.3. Original field spectrum is processed by 3 stage liftings based on bior4.4 to denoise the trivial noise-contaminated regions. On processing the water band signal, logarithm transform is firstly taken. And then the spectrum is de-noised via LWT based on blot4.4. The results show that an excellent denoised spectrum can be get, especially between 350 nm and 1 800 nm, and between 1 960 nm to 2 500 nm.While there is still a bump around 1 900 nm, this maybe due to the spectrum machine's limited precision.