An Improved Particle Swarm Optimization Based on Total Variation Regularization and Projection Constraint with Applications in Ground-Penetrating Radar Inversion: A Model Simulation Study.

MLA

Dai, Qianwei, et al. “An Improved Particle Swarm Optimization Based on Total Variation Regularization and Projection Constraint with Applications in Ground-Penetrating Radar Inversion: A Model Simulation Study.” Remote Sensing, vol. 13, no. 13, July 2021, p. 2514. EBSCOhost, https://doi.org/10.3390/rs13132514.

APA

Dai, Q., Zhang, H., & Zhang, B. (2021). An Improved Particle Swarm Optimization Based on Total Variation Regularization and Projection Constraint with Applications in Ground-Penetrating Radar Inversion: A Model Simulation Study. Remote Sensing, 13(13), 2514. https://doi.org/10.3390/rs13132514

Chicago

Dai, Qianwei, Hao Zhang, and Bin Zhang. 2021. “An Improved Particle Swarm Optimization Based on Total Variation Regularization and Projection Constraint with Applications in Ground-Penetrating Radar Inversion: A Model Simulation Study.” Remote Sensing 13 (13): 2514. doi:10.3390/rs13132514.