{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:03:32Z","timestamp":1730264612287,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,26]],"date-time":"2020-09-26T00:00:00Z","timestamp":1601078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,26]],"date-time":"2020-09-26T00:00:00Z","timestamp":1601078400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,26]],"date-time":"2020-09-26T00:00:00Z","timestamp":1601078400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["DMS-1738003,161453,1107444"],"award-info":[{"award-number":["DMS-1738003,161453,1107444"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,26]]},"DOI":"10.1109\/igarss39084.2020.9323215","type":"proceedings-article","created":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T11:10:14Z","timestamp":1613733014000},"page":"3680-3683","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Hyperspectral Data by Means of Transport Models and Machine Learning"],"prefix":"10.1109","author":[{"given":"Wojciech","family":"Czaja","sequence":"first","affiliation":[]},{"given":"Dong","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Pierre-Emmanuel","family":"Jabin","sequence":"additional","affiliation":[]},{"given":"Franck O. Ndjakou","family":"Njeunje","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1029\/WR015i002p00443"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TVCG.2014.2346418"},{"key":"ref12","first-page":"925","article-title":"An advection–diffusion–reaction model for the estimation of fish movement parameters from tagging data, with application to skipjack tuna (katsuwonus pelamis)","volume":"56","author":"sibert","year":"1999","journal-title":"Canadian Journal of Fisheries and Aquatic Sciences"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1063\/1.1630378"},{"year":"2019","author":"czaja","journal-title":"Transport model for feature extraction","key":"ref14"},{"year":"2018","author":"njeunje","journal-title":"Computational methods in machine learning transport model Haar wavelet DNA classification and MRI","key":"ref15"},{"year":"0","journal-title":"Hyperspectral Remote Sensing Scenes","key":"ref16"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"tenenbaum","year":"2000","journal-title":"Science"},{"key":"ref3","first-page":"559","article-title":"On lines and planes of closest fit to systems of point in space","volume":"2","author":"pearson","year":"1901","journal-title":"Philosophical Magazine"},{"key":"ref6","first-page":"585","article-title":"Laplacian eigenmaps and spectral techniques for embedding and clustering","author":"belkin","year":"2002","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.acha.2006.04.006"},{"key":"ref8","first-page":"908804","article-title":"Schroedinger eigenmaps with nondiagonal potentials for spatial-spectral clustering of hyperspectral imagery","volume":"9088","author":"cahill","year":"2014","journal-title":"Proc SPIE-Algorithms and Technologies for Multispectral Hyperspectral and Ultraspectral Imagery X"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TPAMI.2012.270"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/TGRS.2018.2869723"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1117\/3.899758"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1038\/340632a0"}],"event":{"name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2020,9,26]]},"location":"Waikoloa, HI, USA","end":{"date-parts":[[2020,10,2]]}},"container-title":["IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9323073\/9323063\/09323215.pdf?arnumber=9323215","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:54:21Z","timestamp":1656453261000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9323215\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,26]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/igarss39084.2020.9323215","relation":{},"subject":[],"published":{"date-parts":[[2020,9,26]]}}}