Ramirez-Jaime, A.; Arce, G.R.; Porras-Diaz, N.; Ieremeiev, O.; Rubel, A.; Lukin, V.; Kopytek, M.; Lech, P.; Fastowicz, J.; Okarma, K.
Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction. Remote Sens. 2025, 17, 1215.
https://doi.org/10.3390/rs17071215
AMA Style
Ramirez-Jaime A, Arce GR, Porras-Diaz N, Ieremeiev O, Rubel A, Lukin V, Kopytek M, Lech P, Fastowicz J, Okarma K.
Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction. Remote Sensing. 2025; 17(7):1215.
https://doi.org/10.3390/rs17071215
Chicago/Turabian Style
Ramirez-Jaime, Andres, Gonzalo R. Arce, Nestor Porras-Diaz, Oleg Ieremeiev, Andrii Rubel, Vladimir Lukin, Mateusz Kopytek, Piotr Lech, Jarosław Fastowicz, and Krzysztof Okarma.
2025. "Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction" Remote Sensing 17, no. 7: 1215.
https://doi.org/10.3390/rs17071215
APA Style
Ramirez-Jaime, A., Arce, G. R., Porras-Diaz, N., Ieremeiev, O., Rubel, A., Lukin, V., Kopytek, M., Lech, P., Fastowicz, J., & Okarma, K.
(2025). Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction. Remote Sensing, 17(7), 1215.
https://doi.org/10.3390/rs17071215