We explore feature space geometries induced by the 3-D Fourier scattering transform and deep neural network with extended attribute profiles on four standard hyperspectral images. We examine the distances and angles of class means, the variability of classes, and their low-dimensional structures. These statistics are compared to that of raw features, and our results provide insight into the vastly different properties of these two methods. We also explore a connection with the newly observed deep learning phenomenon of neural collapse.
HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising
National Key Laboratory of Human-Machine Hybrid Augmented Intelligence（人机混合增强智能国家重点实验室）；National Engineering Research Center for Visual Information and Applications（视觉信息与应用国家工程研究中心）；Institute of Artificial Intelligence and Robotics（人工智能与机器人研究院）；school of software（软件学院）
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
Jalpaiguri Government Engineering College（贾尔派古里政府工程学院）；Indian Institute of Information Technology, Sri City（斯里城印度信息技术学院）；Indian Statistical Institute（印度统计研究所）
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification
School of Information Science and Technology, Fudan University（复旦大学信息科学与技术学院）；Academy for Engineering and Technology, Fudan University（复旦大学工程与技术学院）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
Simon Fraser University（西蒙菲莎大学）；Alipurduar Government Engineering and Management College（阿里布尔杜阿尔政府工程与管理学院）；Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院空天信息创新研究院）；University of Chinese Academy of Sciences（中国科学院大学）；Helmholtz-Zentrum Dresden-Rossendorf (HZDR)（德累斯顿-罗森多夫亥姆霍兹中心）；Lancaster University（兰卡斯特大学）
Towards 3D Scene Understanding of Gas Plumes in LWIR Hyperspectral Images Using Neural Radiance Fields
Utah State University, Department of Mathematics & Statistics（犹他州立大学数学与统计学系）；Los Alamos National Laboratory, Intelligence and Space Research Division（洛斯阿拉莫斯国家实验室情报与空间研究部）
