[Quantitative evaluation of soil hyperspectra denoising with different filters].
Identifieur interne : 000772 ( Main/Merge ); précédent : 000771; suivant : 000773[Quantitative evaluation of soil hyperspectra denoising with different filters].
Auteurs : Ming-Xiang Huang [République populaire de Chine] ; Ke Wang ; Zhou Shi ; Jian-Hua Gong ; Hong-Yi Li ; Jie-Liang ChenSource :
- Guang pu xue yu guang pu fen xi = Guang pu [ 1000-0593 ] ; 2009.
Abstract
The noise distribution of soil hyperspectra measured by ASD FieldSpec Pro FR was described, and then the quantitative evaluation of spectral denoising with six filters was compared. From the interpretation of soil hyperspectra, the continuum removed, first-order differential and high frequency curves, the UV/VNIR (350-1 050 nm) exhibit hardly noise except the coverage of 40 nm in the beginning 350 nm. However, the SWIR (1 000-2 500 nm) shows different noise distribution. Especially, the latter half of SWIR 2(1 800-2 500 nm) showed more noise, and the intersection spectrum of three spectrometers has more noise than the neighbor spectrum. Six filters were chosen for spectral denoising. The smoothing indexes (SI), horizontal feature reservation index (HFRI) and vertical feature reservation index (VFRI) were designed for evaluating the denoising performance of these filters. The comparison of their indexes shows that WD and MA filters are the optimal choice to filter the noise, in terms of balancing the contradiction between the smoothing and feature reservation ability. Furthermore the first-order differential data of 66 denoising soil spectra by 6 filters were respectively used as the input of the same PLSR model to predict the sand content. The different prediction accuracies caused by the different filters show that compared to the feature reservation ability, the filter's smoothing ability is the principal factor to influence the accuracy. The study can benefit the spectral preprocessing and analyzing, and also provide the scientific foundation for the related spectroscopy applications.
PubMed: 19455808
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000298
- to stream PubMed, to step Curation: 000298
- to stream PubMed, to step Checkpoint: 000298
- to stream Ncbi, to step Merge: 000265
- to stream Ncbi, to step Curation: 000265
- to stream Ncbi, to step Checkpoint: 000265
Links to Exploration step
pubmed:19455808Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[Quantitative evaluation of soil hyperspectra denoising with different filters].</title>
<author><name sortKey="Huang, Ming Xiang" sort="Huang, Ming Xiang" uniqKey="Huang M" first="Ming-Xiang" last="Huang">Ming-Xiang Huang</name>
<affiliation wicri:level="4"><nlm:affiliation>Institute of Agricultural Remote Sensing and Information System, College of Environmental and Resources Science, Zhejiang University, Hangzhou 310029, China. hmx780202@163.com</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Agricultural Remote Sensing and Information System, College of Environmental and Resources Science, Zhejiang University, Hangzhou 310029</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wang, Ke" sort="Wang, Ke" uniqKey="Wang K" first="Ke" last="Wang">Ke Wang</name>
</author>
<author><name sortKey="Shi, Zhou" sort="Shi, Zhou" uniqKey="Shi Z" first="Zhou" last="Shi">Zhou Shi</name>
</author>
<author><name sortKey="Gong, Jian Hua" sort="Gong, Jian Hua" uniqKey="Gong J" first="Jian-Hua" last="Gong">Jian-Hua Gong</name>
</author>
<author><name sortKey="Li, Hong Yi" sort="Li, Hong Yi" uniqKey="Li H" first="Hong-Yi" last="Li">Hong-Yi Li</name>
</author>
<author><name sortKey="Chen, Jie Liang" sort="Chen, Jie Liang" uniqKey="Chen J" first="Jie-Liang" last="Chen">Jie-Liang Chen</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2009">2009</date>
<idno type="RBID">pubmed:19455808</idno>
<idno type="pmid">19455808</idno>
<idno type="wicri:Area/PubMed/Corpus">000298</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000298</idno>
<idno type="wicri:Area/PubMed/Curation">000298</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000298</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000298</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000298</idno>
<idno type="wicri:Area/Ncbi/Merge">000265</idno>
<idno type="wicri:Area/Ncbi/Curation">000265</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000265</idno>
<idno type="wicri:doubleKey">1000-0593:2009:Huang M:quantitative:evaluation:of</idno>
<idno type="wicri:Area/Main/Merge">000772</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">[Quantitative evaluation of soil hyperspectra denoising with different filters].</title>
<author><name sortKey="Huang, Ming Xiang" sort="Huang, Ming Xiang" uniqKey="Huang M" first="Ming-Xiang" last="Huang">Ming-Xiang Huang</name>
<affiliation wicri:level="4"><nlm:affiliation>Institute of Agricultural Remote Sensing and Information System, College of Environmental and Resources Science, Zhejiang University, Hangzhou 310029, China. hmx780202@163.com</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Agricultural Remote Sensing and Information System, College of Environmental and Resources Science, Zhejiang University, Hangzhou 310029</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wang, Ke" sort="Wang, Ke" uniqKey="Wang K" first="Ke" last="Wang">Ke Wang</name>
</author>
<author><name sortKey="Shi, Zhou" sort="Shi, Zhou" uniqKey="Shi Z" first="Zhou" last="Shi">Zhou Shi</name>
</author>
<author><name sortKey="Gong, Jian Hua" sort="Gong, Jian Hua" uniqKey="Gong J" first="Jian-Hua" last="Gong">Jian-Hua Gong</name>
</author>
<author><name sortKey="Li, Hong Yi" sort="Li, Hong Yi" uniqKey="Li H" first="Hong-Yi" last="Li">Hong-Yi Li</name>
</author>
<author><name sortKey="Chen, Jie Liang" sort="Chen, Jie Liang" uniqKey="Chen J" first="Jie-Liang" last="Chen">Jie-Liang Chen</name>
</author>
</analytic>
<series><title level="j">Guang pu xue yu guang pu fen xi = Guang pu</title>
<idno type="ISSN">1000-0593</idno>
<imprint><date when="2009" type="published">2009</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The noise distribution of soil hyperspectra measured by ASD FieldSpec Pro FR was described, and then the quantitative evaluation of spectral denoising with six filters was compared. From the interpretation of soil hyperspectra, the continuum removed, first-order differential and high frequency curves, the UV/VNIR (350-1 050 nm) exhibit hardly noise except the coverage of 40 nm in the beginning 350 nm. However, the SWIR (1 000-2 500 nm) shows different noise distribution. Especially, the latter half of SWIR 2(1 800-2 500 nm) showed more noise, and the intersection spectrum of three spectrometers has more noise than the neighbor spectrum. Six filters were chosen for spectral denoising. The smoothing indexes (SI), horizontal feature reservation index (HFRI) and vertical feature reservation index (VFRI) were designed for evaluating the denoising performance of these filters. The comparison of their indexes shows that WD and MA filters are the optimal choice to filter the noise, in terms of balancing the contradiction between the smoothing and feature reservation ability. Furthermore the first-order differential data of 66 denoising soil spectra by 6 filters were respectively used as the input of the same PLSR model to predict the sand content. The different prediction accuracies caused by the different filters show that compared to the feature reservation ability, the filter's smoothing ability is the principal factor to influence the accuracy. The study can benefit the spectral preprocessing and analyzing, and also provide the scientific foundation for the related spectroscopy applications.</div>
</front>
</TEI>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000772 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 000772 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Agronomie |area= SisAgriV1 |flux= Main |étape= Merge |type= RBID |clé= pubmed:19455808 |texte= [Quantitative evaluation of soil hyperspectra denoising with different filters]. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Merge/RBID.i -Sk "pubmed:19455808" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Merge/biblio.hfd \ | NlmPubMed2Wicri -a SisAgriV1
![]() | This area was generated with Dilib version V0.6.28. | ![]() |