报告人：郭建华 教授

报告时间：2025年3月28日，9: 00-10: 00

报告地点：致知楼 B201

报告题目：Hyperspectral and Multispectral Image Fusion with Functional Data Analysis Techniques

报告摘要：The fusion of hyperspectral images (HSI) and multispectral images (MSI) aims to synthesize high-resolution hyperspectral images (HR-HSI) from observable low-resolution hyperspectral (LR-HSI) and high-resolution multispectral (HR-MSI) data. Existing methodologies often overlook the importance of the degradation model within imaging systems and the inherent spectral and spatial smoothness properties of hyperspectral data, resulting in suboptimal outcomes in real-world applications. We introduce a novel approach that utilizes functional data analysis techniques to precisely estimate degradation parameters and effectively fuse HSI-MSI pairs. Based on the physical generation mechanisms of both HSI and MSI, alongside the intrinsic smoothness of degradation parameters, we propose an iterative function estimation technique to recover the spectral response and point spread functions. Additionally, we introduce a spatial content-aware spectral subspace regularizer (SSR) that promotes low-dimensional functional subspaces for spectral data within similar spatial contexts. Implemented within an ADMM optimization framework, our fusion model integrates the precisely estimated degradation parameters and SSR to accurately construct the target HR-HSI data. Extensive experimental evaluations on multiple public datasets demonstrate that our approach achieves superior performance in both quantitative metrics and qualitative assessments.

报告人简介：郭建华，北京工商大学党委副书记、校长，教授，博士生导师。国务院学位委员会学科评议组统计学科召集人，国家杰出青年科学基金获得者，教育部“长江学者奖励计划”特聘教授，“新世纪百千万人才工程”国家级人选，国务院政府特殊津贴获得者，国家自然科学基金委员会第七、八届数学天元学术领导小组成员，国家社会科学基金学科规划评议组成员，国家自然科学基金会评专家，曾担任著名期刊《JASA》、《统计研究》等的编委。现任中国现场统计研究会理事长、中国统计学会副会长等。