Wood legality verification method based on visible-near infrared spectrum

Abstract

The invention discloses a wood legality verification method based on a visible-near infrared spectrum. The method comprises the following steps: acquiring visible-near infrared spectrum data of wood to be verified; carrying out de-noising processing on the visible-near infrared spectrum data by adopting second generation wavelet-lifting wavelet transform; inputting the visible-near infrared spectrum data or the visible-near infrared spectrum data subjected to denoising processing into a legality verification model, wherein the legality verification model comprises a wood property prediction model, a wood origin traceability model and a wood tree species identification model; and outputting the wood property prediction result, the wood production place traceability data and the wood tree species identification data of the verified wood. The verification method is high in prediction precision and strong in applicability, and can predict the wood property information and identify the wood producing area and the tree species type at the same time, so that true and false identification of the wood property information of a large number of woods can be realized, and the illegal transaction rate of the woods is reduced.

Description

technical field [0001] The invention relates to the technical field of visible-near-infrared spectroscopy, in particular to a method for verifying the legality of wood based on visible-near-infrared spectroscopy. Background technique [0002] Relevant data show that more than 50% of the world's forests are threatened by illegal logging; the annual illegal timber trade accounts for 15%-30% of the total timber trade volume, which greatly reduces the price of forest products and causes serious social and ecological problems. At this stage, it is urgent to build an intelligent, efficient and green timber legality verification system to meet the international timber legality requirements and promote the international trade of forest products and the legalization of forestry in my country. [0003] The essence of timber legality is to ensure the legality of the source of timber and forest product raw materials, mainly through timber origin, tree species category and timber materia...

AI Technical Summary

Problems solved by technology

The operation is complicated, time-consuming, labor-intensive, and highly destructive, and the experimental results obtained are only applicable to the measured samples, and cannot be used for fast, accurate and large-scale non-destructive prediction of the material information of the same unknown sample

[0007] 2. Unable to ensure the accuracy of the data

[0009] However, the current research is only aimed at the identification of a single tree species, such as the publication number: CN 109870421A "A Method for Incremental Wood Tree Species Classification and Identification Based on Visible / Near-Infrared Spectral Analysis", and it cannot realize the traceability of timber origin, tree species identification and Simultaneously accurate prediction of wood material information

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