In this study, we analyze the potential of utilizing polarization information to improve the performance of deep learning models based on raw GBSAR data.
Apr 5, 2024 · We present several approaches demonstrating the integration of such data into classification models based on a modified ResNet18 architecture.
[PDF] Utilizing Polarization Diversity in GBSAR Data-Based Object ...
www.semanticscholar.org › paper
The potential of utilizing polarization information to improve the performance of deep learning models based on raw GBSAR data is analyzed and several ...
Building upon this foundation, in this study, we analyze the potential of utilizing polarization information to improve the performance of deep learning models ...
The results indicate that a simple concatenation method is the most promising approach and underscore the importance of considering antenna polarization and ...
Oct 8, 2024 · Utilizing Polarization Diversity in GBSAR Data-Based Object Classification. Overview of attention for article published in Sensors, April ...
Sensors MDPI on X: "Utilizing Polarization Diversity in GBSAR ...
twitter.com › Sensors_MDPI › status
Oct 8, 2024 · Utilizing Polarization Diversity in GBSAR Data-Based Object Classification http://mdpi.com/1424-8220/24/7/2305… @SveucilisteZG.
Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data ... Utilizing Polarization Diversity in GBSAR Data-Based Object ...
Building upon this foundation, in this study, we analyze the potential of utilizing polarization information to improve the performance of deep learning models ...
Feb 15, 2024 · This study proposes a method to effectively monitor sub-second or sub-minute displacements using GBSAR signals.