HYPERSPECTRAL IMAGES UNMIXING WITH RARE SIGNALS

被引：0

作者：

Ravel, Sylvain ^{[1
]}

Bourennane, Salah ^{[1
]}

Fossati, Caroline ^{[1
]}

机构：

[1] Univ Aix Marseille, Ecole Cent Marseille, CNRS, Inst Fresnel,UMR 7249, F-13013 Marseille, France

来源：

PROCEEDINGS OF THE 2016 6TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP) | 2016年

关键词：

hyperspectral; unmixing; detection; rare pixel; NMF; COMPONENT ANALYSIS; ALGORITHM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Pixels in hyperspectral images are a mixing of source signals. Hyperspectral unmixing is an important issue in image processing. In this paper we consider a linear mixing model. We address the unmixing issue when some "rare" source signals are only present in few mixed pixels. We propose a new method based on Non-negative Matrix Factorization (NMF) with known endmembers' number. This method first estimates the abundant source signals. Then it detects pixels which contain the rare signals. Finally it processes those pixels to estimate the rare signals.

引用

页数：5

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