An Experimental Study on the Effects of Noise on Endmember Extraction Methods

IF 2 4区地球科学 Q3 REMOTE SENSING

Canadian Journal of Remote Sensing Pub Date : 2022-06-06 DOI:10.1080/07038992.2022.2081537

Guangyi Chen, A. Krzyżak, S. Qian

引用次数: 1

Abstract

Abstract Endmember extraction is frequently adopted to detect spectrally unique signatures of pure materials in the scene of hyperspectral imagery (HSI). In this paper, we investigate the effects of noise on seven widely used endmember extraction methods. We consider both Gaussian white noise and shot noise in our experiments. Experiments demonstrate that all methods considered in this paper are relatively robust to noise. Furthermore, all endmember spectral curves are contaminated by noise when noise is present in the hyperspectral data cubes. As a result, noise has a very important effect on the quality of the extracted endmember spectral curves.

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噪声对端元提取方法影响的实验研究

摘要在高光谱图像（HSI）场景中，经常采用端元提取来检测纯材料的光谱唯一特征。在本文中，我们研究了噪声对七种广泛使用的端元提取方法的影响。我们在实验中同时考虑了高斯白噪声和散粒噪声。实验表明，本文所考虑的所有方法都对噪声具有相对的鲁棒性。此外，当高光谱数据立方体中存在噪声时，所有端元光谱曲线都被噪声污染。因此，噪声对提取的端部构件频谱曲线的质量具有非常重要的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Canadian Journal of Remote Sensing REMOTE SENSING-

自引率

3.80%

发文量

期刊介绍： Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT). Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles. The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science. Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community. The international editorial board provides expertise in a wide range of remote sensing theory and applications.