Academic Journal

Model-based co-clustering for hyperspectral images

التفاصيل البيبلوغرافية
العنوان: Model-based co-clustering for hyperspectral images
المؤلفون: Julien Jacques, Cyril Ruckebusch
المصدر: Journal of Spectral Imaging, Vol 5, p a3 (2016)
بيانات النشر: IM Publications Open, 2016.
سنة النشر: 2016
المجموعة: LCC:Analytical chemistry
مصطلحات موضوعية: co-clustering, latent block model, hyperspectral images, Analytical chemistry, QD71-142
الوصف: A model-based co-clustering algorithm for hyperspectral images is presented. This algorithm, which relies on the probabilistic latent block model for continuous data, aims to cluster both the pixels and the spectral features of the images. This approach has been applied to a benchmark Raman imaging dataset and revealed relevant information for spatial–spectral exploratory investigation of the data.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2040-4565
Relation: https://www.impublications.com/download.php?code=I05_a3; https://doaj.org/toc/2040-4565
DOI: 10.1255/jsi.2016.a3
URL الوصول: https://doaj.org/article/9665d1f90fc746d3be24b0006b3ab121
رقم الانضمام: edsdoj.9665d1f90fc746d3be24b0006b3ab121
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20404565
DOI:10.1255/jsi.2016.a3