American Psychological Association 6th edition

Chen, T., Zhang, L., Guo, W., Zhang, Z., & Datcu, M. (2025). Analyzing the Adversarial Robustness and Interpretability of Deep SAR Classification Models: A Comprehensive Examination of Their Reliability. Remote Sensing, 17(11), 1943-1970. https://doi.org/10.3390/rs17111943

ISO-690 (author-date, English)

CHEN, Tianrui, ZHANG, Limeng, GUO, Weiwei, ZHANG, Zenghui und DATCU, Mihai, 2025. Analyzing the Adversarial Robustness and Interpretability of Deep SAR Classification Models: A Comprehensive Examination of Their Reliability. Remote Sensing. 1 Juni 2025. Vol. 17, no. 11, p. 1943-1970. DOI 10.3390/rs17111943.

Modern Language Association 9th edition

Chen, T., L. Zhang, W. Guo, Z. Zhang, und M. Datcu. „Analyzing the Adversarial Robustness and Interpretability of Deep SAR Classification Models: A Comprehensive Examination of Their Reliability.“. Remote Sensing, Bd. 17, Nr. 11, Juni 2025, S. 1943-70, https://doi.org/10.3390/rs17111943.

Mohr Siebeck - Recht (Deutsch - Österreich)

Chen, Tianrui/Zhang, Limeng/Guo, Weiwei/Zhang, Zenghui/Datcu, Mihai: Analyzing the Adversarial Robustness and Interpretability of Deep SAR Classification Models: A Comprehensive Examination of Their Reliability., Remote Sensing 2025, 1943-1970.

Emerald - Harvard

Chen, T., Zhang, L., Guo, W., Zhang, Z. und Datcu, M. (2025), „Analyzing the Adversarial Robustness and Interpretability of Deep SAR Classification Models: A Comprehensive Examination of Their Reliability.“, Remote Sensing, Vol. 17 No. 11, S. 1943-1970.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.