%0 Journal Article %1 journals/remotesensing/DuanQHZZL24 %A Duan, Jiale %A Qiu, Linyao %A He, Guangjun %A Zhao, Ling %A Zhang, Zhenshi %A Li, Haifeng %D 2024 %J Remote. Sens. %K dblp %N 6 %P 997 %T A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection. %U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#DuanQHZZL24 %V 16

@article{journals/remotesensing/DuanQHZZL24, added-at = {2024-04-15T00:00:00.000+0200}, author = {Duan, Jiale and Qiu, Linyao and He, Guangjun and Zhao, Ling and Zhang, Zhenshi and Li, Haifeng}, biburl = {https://www.bibsonomy.org/bibtex/28bec660296e3f2f641d0cb80b1983305/dblp}, ee = {https://doi.org/10.3390/rs16060997}, interhash = {56a3f7175b88169d34968e5bacb1fc2c}, intrahash = {8bec660296e3f2f641d0cb80b1983305}, journal = {Remote. Sens.}, keywords = {dblp}, month = {March}, number = 6, pages = 997, timestamp = {2024-04-22T07:03:32.000+0200}, title = {A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection.}, url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#DuanQHZZL24}, volume = 16, year = 2024 }