Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Garrett L. Altmann, Amy E. Larson. Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries. In 2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014, Washington, DC, USA, October 14-16, 2014. pages 1-10, IEEE, 2014. [doi]

@inproceedings{MoodyBRAL14,
  title = {Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries},
  author = {Daniela I. Moody and Steven P. Brumby and Joel C. Rowland and Garrett L. Altmann and Amy E. Larson},
  year = {2014},
  doi = {10.1109/AIPR.2014.7041921},
  url = {http://dx.doi.org/10.1109/AIPR.2014.7041921},
  researchr = {https://researchr.org/publication/MoodyBRAL14},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014, Washington, DC, USA, October 14-16, 2014},
  publisher = {IEEE},
  isbn = {978-1-4799-5921-1},
}