萬物在光照下均會呈現(xiàn)獨(dú)有的光譜曲線，它們像“身份證”一樣標(biāo)識不同的物質(zhì)。利用這一特性，可以反推光譜信息來源于哪些物質(zhì)。
All things show unique spectral curves under light, and they identify different substances like ID cards. Using this property, we can deduce what material the spectral information comes f rom.
但其中仍有兩大難題，一是提高光譜分辨率的難度大，低分辨率下不同物質(zhì)的光譜曲線相似度高，很難區(qū)分不同光譜信息間的細(xì)微差別；二是在采集大面積待測區(qū)域的光譜信息時，單位像素中多種物質(zhì)混雜，不易得到各類純物質(zhì)的光譜信息。
But there are still two problems, one is to improve the spectral resolution difficulty, spectral curve similarity of different materials under low resolution is high, it is difficult to distinguish between different nuances of spectral information; two is in the collection of large area spectral info rmation region measured when the hybrid material unit pixel, is not easy to get the spectral inf ormation of all kinds of pure substances.
該校光譜成像與智能感知重點(diǎn)實(shí)驗(yàn)室經(jīng)過5年努力，成功攻克了兩大難題，使光譜分辨率最大可達(dá)4nm，相當(dāng)于一張紙厚度的萬分之一；同時，實(shí)現(xiàn)了多種物質(zhì)光譜信息的“解混”，并可根據(jù)使用環(huán)境經(jīng)緯度、大氣、光照等因素自我校正，保證分析結(jié)果的準(zhǔn)確性。
The Key Laboratory of spectral imaging and intelligent perception after 5 years of efforts, has successfully overcome the two problems, the spectral resolution of up to 4nm, equivalent to the thickness of a sheet of paper 1/10000; at the s ame time, the mixed solution of various substances , and the spectral information can be used according to the latitude and longitude, atmospheric environment, illumination etc. the factors of self correction, to ensure the accuracy of the results.
整套系統(tǒng)總重不足4.5kg，既可搭載在直升機(jī)上，在2000米高空對整座山林進(jìn)行大面積掃描拍攝；也可搭載在無人機(jī)上進(jìn)行低空作業(yè)，1小時內(nèi)就可完成對1萬平方米農(nóng)田的土壤分析；還可以在桌面上對地質(zhì)勘探樣本進(jìn)行分析。
The whole system weight less than 4.5kg, which can be mounted on the helicopter, a large area scanning of the whole mountain forest at a height of 2000 meters; but also can be equipped with low altitude operations in UAV, you can complete the analysis of the 10 thousand square meters of f armland soil within 1 hours; but also on the desktop for geological exploration sample analysis.
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