Academic Journal

SF-Net: Spatial-Frequency Feature Synthesis for Semantic Segmentation of High-Resolution Remote Sensing Imagery

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: SF-Net: Spatial-Frequency Feature Synthesis for Semantic Segmentation of High-Resolution Remote Sensing Imagery
Συγγραφείς: Ge, C., Leng, Q., Zhang, T., ullah, S., Namoun, A., Hussain, S.M., Alfuhaid, H., Waqas, M.
Πηγή: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of. 19:6653-6666 2026
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISSN:19391404
21511535
DOI:10.1109/JSTARS.2026.3658488