معرفی
Xuan Hou is a Researcher in the Department of Computer Science at Aberystwyth University. His work focuses on remote sensing, image processing, and machine learning, particularly in the areas of change detection, SAR imagery analysis, and deep learning applications. He holds a Doctor of Philosophy degree and has been active in research since 2021.
His research interests include developing advanced algorithms for remote sensing imagery analysis, leveraging techniques such as self-supervised learning, generative adversarial networks (GANs), and spatial-spectral fusion. He has collaborated with institutions like Northwestern Polytechnic University, contributing to advancements in environmental monitoring and synthetic aperture radar (SAR) image processing.
Xuan’s recent publications highlight innovations in multimodal change detection, heterogeneous convolution approaches, and unsupervised learning methods. His work addresses challenges in SAR image despeckling and high-resolution satellite imagery analysis, with applications in environmental and urban monitoring.
Notably, his research has been featured in media coverage for breakthroughs in binary quantization vision transformers and self-supervised multimodal change detection techniques.
