APA (7th ed.) Citation

Moghimi, A., Welzel, M., Celik, T., & Schlurmann, T. (2024). A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery. IEEE.

Chicago Style (17th ed.) Citation

Moghimi, Armin, Mario Welzel, Turgay Celik, and Torsten Schlurmann. A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery. IEEE, 2024.

MLA (9th ed.) Citation

Moghimi, Armin, et al. A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery. IEEE, 2024.