Fonte: ISPRS Journal of Photogrammetry and Remote Sensing. Unidades: ESALQ, ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, SENSORIAMENTO REMOTO
ABNT
LIU, Yaoting et al. Towards resolution-arbitrary remote sensing change detection with Spatial-frequency dual domain learning. ISPRS Journal of Photogrammetry and Remote Sensing, v. 231, p. 137-150, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.isprsjprs.2025.10.023. Acesso em: 25 nov. 2025.APA
Liu, Y., He, Q., Li, J., Liu, X., Fiorio, P. R., Nakai, É. S., & Yang, B. (2026). Towards resolution-arbitrary remote sensing change detection with Spatial-frequency dual domain learning. ISPRS Journal of Photogrammetry and Remote Sensing, 231, 137-150. doi:10.1016/j.isprsjprs.2025.10.023NLM
Liu Y, He Q, Li J, Liu X, Fiorio PR, Nakai ÉS, Yang B. Towards resolution-arbitrary remote sensing change detection with Spatial-frequency dual domain learning [Internet]. ISPRS Journal of Photogrammetry and Remote Sensing. 2026 ; 231 137-150.[citado 2025 nov. 25 ] Available from: https://doi.org/10.1016/j.isprsjprs.2025.10.023Vancouver
Liu Y, He Q, Li J, Liu X, Fiorio PR, Nakai ÉS, Yang B. Towards resolution-arbitrary remote sensing change detection with Spatial-frequency dual domain learning [Internet]. ISPRS Journal of Photogrammetry and Remote Sensing. 2026 ; 231 137-150.[citado 2025 nov. 25 ] Available from: https://doi.org/10.1016/j.isprsjprs.2025.10.023
