Collaborative inversion heavy metal stress in rice by using two-dimensional spectral feature space based on HJ-1 A HSI and radarsat-2 SAR remote sensing data.
X. Li, L. Li, and X. Liu. Int. J. Appl. Earth Obs. Geoinformation, (2019)
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%0 Journal Article
%1 journals/aeog/LiLL19
%A Li, Xuqing
%A Li, Long
%A Liu, Xiangnan
%D 2019
%J Int. J. Appl. Earth Obs. Geoinformation
%K dblp
%P 39-52
%T Collaborative inversion heavy metal stress in rice by using two-dimensional spectral feature space based on HJ-1 A HSI and radarsat-2 SAR remote sensing data.
%U http://dblp.uni-trier.de/db/journals/aeog/aeog78.html#LiLL19
%V 78
@article{journals/aeog/LiLL19,
added-at = {2020-02-20T00:00:00.000+0100},
author = {Li, Xuqing and Li, Long and Liu, Xiangnan},
biburl = {https://www.bibsonomy.org/bibtex/2d402facd973b8beef1bfd8b3c2449172/dblp},
ee = {https://doi.org/10.1016/j.jag.2018.12.011},
interhash = {bfe63fbf420c4538f3cad733e2f7450e},
intrahash = {d402facd973b8beef1bfd8b3c2449172},
journal = {Int. J. Appl. Earth Obs. Geoinformation},
keywords = {dblp},
pages = {39-52},
timestamp = {2020-02-21T12:43:32.000+0100},
title = {Collaborative inversion heavy metal stress in rice by using two-dimensional spectral feature space based on HJ-1 A HSI and radarsat-2 SAR remote sensing data.},
url = {http://dblp.uni-trier.de/db/journals/aeog/aeog78.html#LiLL19},
volume = 78,
year = 2019
}
