Fast Unmixing of Noisy Hyperspectral Images Based on Vertex Component Analysis and Singular Spectrum Analysis Algorithms

Autor:	Ling Zhang, Bin Wang, Ning Sun, Dongmei Song, Mingming Xu
Rok vydání:	2020
Předmět:	Vertex (computer graphics) Mathematics::Commutative Algebra 010504 meteorology & atmospheric sciences Computer science Noise reduction 0211 other engineering and technologies Hyperspectral imaging 02 engineering and technology Physics::Data Analysis Statistics and Probability 01 natural sciences Vertex component analysis Statistics::Machine Learning Computer Science::Computer Vision and Pattern Recognition General Earth and Planetary Sciences Computer Science::Symbolic Computation Algorithm Singular spectrum analysis 021101 geological & geomatics engineering 0105 earth and related environmental sciences
Zdroj:	Canadian Journal of Remote Sensing. 46:34-48
ISSN:	1712-7971 0703-8992
Popis:	Efficient denoising is of great significance to unmixing hyperspectral images. In the present study, a fast unmixing method for noisy hyperspectral images based on the combination of vertex compone...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::12d3526a0c9b0548abc2b64c6c315ef8 https://doi.org/10.1080/07038992.2020.1726735 Zobrazit plný text záznamu