Cite
Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification
MLA
Eduard Khachatrian, et al. “Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, Jan. 2021, pp. 9025–37. EBSCOhost, https://doi.org/10.1109/JSTARS.2021.3099398.
APA
Eduard Khachatrian, Saloua Chlaily, Torbjorn Eltoft, Wolfgang Dierking, Frode Dinessen, & Andrea Marinoni. (2021). Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 9025–9037. https://doi.org/10.1109/JSTARS.2021.3099398
Chicago
Eduard Khachatrian, Saloua Chlaily, Torbjorn Eltoft, Wolfgang Dierking, Frode Dinessen, and Andrea Marinoni. 2021. “Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (January): 9025–37. doi:10.1109/JSTARS.2021.3099398.