A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

Maryam Pourshamsi, Mariano García, Marco Lavalle, Heiko Balzter. A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11(10):3453-3463, 2018. [doi]

@article{PourshamsiGLB18,
  title = {A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data},
  author = {Maryam Pourshamsi and Mariano García and Marco Lavalle and Heiko Balzter},
  year = {2018},
  doi = {10.1109/JSTARS.2018.2868119},
  url = {https://doi.org/10.1109/JSTARS.2018.2868119},
  researchr = {https://researchr.org/publication/PourshamsiGLB18},
  cites = {0},
  citedby = {0},
  journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing},
  volume = {11},
  number = {10},
  pages = {3453-3463},
}