La Grassa, R.; Gallo, I.; Re, C.; Cremonese, G.; Landro, N.; Pernechele, C.; Simioni, E.; Gatti, M.
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars. Remote Sens. 2022, 14, 4619.
https://doi.org/10.3390/rs14184619
AMA Style
La Grassa R, Gallo I, Re C, Cremonese G, Landro N, Pernechele C, Simioni E, Gatti M.
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars. Remote Sensing. 2022; 14(18):4619.
https://doi.org/10.3390/rs14184619
Chicago/Turabian Style
La Grassa, Riccardo, Ignazio Gallo, Cristina Re, Gabriele Cremonese, Nicola Landro, Claudio Pernechele, Emanuele Simioni, and Mattia Gatti.
2022. "An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars" Remote Sensing 14, no. 18: 4619.
https://doi.org/10.3390/rs14184619
APA Style
La Grassa, R., Gallo, I., Re, C., Cremonese, G., Landro, N., Pernechele, C., Simioni, E., & Gatti, M.
(2022). An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars. Remote Sensing, 14(18), 4619.
https://doi.org/10.3390/rs14184619