WebIn this article, we propose a novel graph convolutional network (GCN) for pansharpening, defined as GCPNet, which consists of three main modules: the spatial GCN module (SGCN), the spectral band GCN module (BGCN), and the atrous spatial pyramid module (ASPM). Specifically, due to the nature of GCN, the proposed SGCN and BGCN are … Danfeng Hong (Senior Member, IEEE) received the M.Sc. degree (summa cum laude) in computer vision from the College of Information Engineering, Qingdao University, Qingdao, China, in 2015, and the Dr.-Ing. degree (summa cum laude) from the Signal Processing in Earth Observation (SiPEO), Technical University of Munich (TUM), Munich, Germany, in 2024.
洪丹枫-中国科学院大学-UCAS
Web10 apr 2024 · Hong, Danfeng und Yokoya, Naoto und Ge, Nan und Chanussot, Jocelyn und Zhu, Xiao Xiang (2024) Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification. ISPRS Journal of Photogrammetry and Remote Sensing, 147, Seiten 193-205. Elsevier. doi: … Web20 apr 2024 · Hyperspectral image-anomaly detection (HSI-AD) has become one of the research hotspots in the field of remote sensing. Because HSI’s features of integrating image and spectrum provide a considerable data basis for abnormal object detection, HSI-AD has a huge application potential in HSI analysis. It is difficult to effectively extract a … joe biden food crisis
Hyperspectral Anomaly Detection Using Deep Learning: A Review
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