info:eu-repo/semantics/conferencePaper
Real-Time Reconstruction of Remote Sensing Imagery: Aggregation of Robust Regularization with Neural Computing
Registro en:
Y. Shkvarko & I.E. Villalón-Turrubiate (2005), “Real-Time Reconstruction of Remote Sensing Imagery: Aggregation of Robust Regularization with Neural Computing”. Proceedings of the 17th International Association for Mathematics and Computers in Simulation (IMACS) World Congress, París, Francia.
Autor
Shkvarko, Yuriy
Villalón-Turrubiates, Iván E.
Institución
Resumen
The robustified numerical technique for real-time sensor array reconstructive image processing is developed as required for remote sensing imaging with large scale array/synthesized array radars. The addressed technique is designed via performing the regularized robustification of the fused Bayesian-regularization imaging method aggregated with the efficient real-time numerical implementation scheme that employs the neural network computing. CINVESTAV