Simultaneous spatial and spectral low-rank representation of hyperspectral images for classification

• المؤلفون الرئيسيون: Mei, Shaohui, Hou, Junhui, Chen, Jie, Chau, Lap-Pui, Du, Qian
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Classification; Convex Optimization
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/142234

Arising from various environmental and atmos- pheric conditions and sensor interference, spectral variations are inevitable during hyperspectral remote sensing, which degrade the subsequent hyperspectral image analysis significantly. In this paper, we propose simultaneous spatial and spectral low-ra...