BibTeX record conf/igarss/ChenT19

download as .bib file

@inproceedings{DBLP:conf/igarss/ChenT19,
  author    = {Yujia Chen and
               Shufang Tian},
  title     = {Evaluation of Mine Exploitation Intensity Based on Topsis and {BP}
               Neural Network: a Case Study in Fujian Province, China},
  booktitle = {2019 {IEEE} International Geoscience and Remote Sensing Symposium,
               {IGARSS} 2019, Yokohama, Japan, July 28 - August 2, 2019},
  pages     = {6437--6440},
  year      = {2019},
  crossref  = {DBLP:conf/igarss/2019},
  url       = {https://doi.org/10.1109/IGARSS.2019.8898670},
  doi       = {10.1109/IGARSS.2019.8898670},
  timestamp = {Thu, 21 Nov 2019 21:15:10 +0100},
  biburl    = {https://dblp.org/rec/conf/igarss/ChenT19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/igarss/2019,
  title     = {2019 {IEEE} International Geoscience and Remote Sensing Symposium,
               {IGARSS} 2019, Yokohama, Japan, July 28 - August 2, 2019},
  publisher = {{IEEE}},
  year      = {2019},
  url       = {https://ieeexplore.ieee.org/xpl/conhome/8891871/proceeding},
  isbn      = {978-1-5386-9154-0},
  timestamp = {Thu, 07 Jul 2022 16:39:08 +0200},
  biburl    = {https://dblp.org/rec/conf/igarss/2019.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.