{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:15:43Z","timestamp":1760148943176,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T00:00:00Z","timestamp":1686787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32171783","184080H202B371","KJ2020ZD08"],"award-info":[{"award-number":["32171783","184080H202B371","KJ2020ZD08"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008964","name":"Nanjing Normal University","doi-asserted-by":"publisher","award":["32171783","184080H202B371","KJ2020ZD08"],"award-info":[{"award-number":["32171783","184080H202B371","KJ2020ZD08"]}],"id":[{"id":"10.13039\/100008964","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of Natural Science Research of Anhui Universities","award":["32171783","184080H202B371","KJ2020ZD08"],"award-info":[{"award-number":["32171783","184080H202B371","KJ2020ZD08"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The interference of background noise leads to the extremely high spatial complexity of hyperspectral data. Sensitive band selecting is an important task to minimize or eliminate the influence of non-target elements. In this study, Taylor expansion is innovatively used to identify core wavelengths\/bands of hyperspectral data. Unlike other traditional methods, this proposed Taylor-CC method considers more local and global information of spectral function to estimate the linear\/nonlinear correlation between two wavelengths. Using samples of hyperspectral data with a wavelength range of 350\u20132500 nm and SPAD for Camellia oleifera, this Taylor-CC method is compared with the traditional PCC method derived from the Pearson correlation coefficient. Using the 240 samples with their different 57 core wavelengths identified by the Taylor-CC method and PCC method, three machine models (i.e., random forest-RF, linear regression-LR, and artificial neural network-ANN) are trained to compare their performances. Their results show that the correlation matrix from the Taylor-CC method represents a clear diagonal pattern with near zero values at most locations away from the diagonal, and all three models confirm that the Taylor-CC method is superior to the PCC method. Moreover, the SPAD spectral response relationship based on machine learning algorithms is constructed, and ANN is the best prediction performance among the three models when using the core wavelengths identified by the Taylor-CC method. The Taylor-CC method proposed in this study not only lays a mathematical foundation for the next analysis of the response mechanism between spectral characteristics and nutrient content of Camellia leaf, but also provides a new idea for the correlation analysis of adjacent spectral bands for hyperspectral signals in many applications.<\/jats:p>","DOI":"10.3390\/rs15123137","type":"journal-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T02:02:20Z","timestamp":1686880940000},"page":"3137","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Identifying Core Wavelengths of Oil Tree\u2019s Hyperspectral Data by Taylor Expansion"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3772-5713","authenticated-orcid":false,"given":"Zhibin","family":"Sun","sequence":"first","affiliation":[{"name":"Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems, Nanjing Normal University, Nanjing 210023, China"},{"name":"School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyue","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuehai","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9196-2747","authenticated-orcid":false,"given":"Lipeng","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Kuang","sequence":"additional","affiliation":[{"name":"School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaozhou","family":"Li","sequence":"additional","affiliation":[{"name":"Jinghui Camellia Professional Cooperative in Qianshan County, Anqing 246306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Dou","sequence":"additional","affiliation":[{"name":"School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2442-1662","authenticated-orcid":false,"given":"Xiang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Science, Anhui Agricultural University, Hefei 230036, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,15]]},"reference":[{"key":"ref_1","first-page":"94","article-title":"Hyperspectral remote sensing for estimating biochemical variables of canopy","volume":"1","author":"Zhao","year":"2003","journal-title":"Adv. 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