AI RESEARCH
PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
arXiv CS.CV
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ArXi:2605.31137v1 Announce Type: new Recently, convolutional neural networks (CNNs) have become popular for image classification due to their effectiveness in computer vision tasks. Now, researchers are exploring the potential of vision transformers (ViTs) in remote sensing and Earth observation. However, traditional Real-Valued networks often overlook important phase information in Complex-Valued (CV) data like polarimetric synthetic aperture radar (PolSAR) data. To address this, new CV deep architectures have emerged.