Improved covariance equalization for change detection in hyperspectral images

التفاصيل البيبلوغرافية
العنوان: Improved covariance equalization for change detection in hyperspectral images
المؤلفون: Nofar R. Piri, Eden R. Nisanov, Erez Yardeni, Stanley R. Rotman
المصدر: Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII.
بيانات النشر: SPIE, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Normalization (statistics), Change detection algorithms, Computer science, business.industry, Equalization (audio), Hyperspectral imaging, Anomaly detection, Pattern recognition, Artificial intelligence, Covariance, Focus (optics), business, Change detection
الوصف: This paper will focus on analyzing the Covariance Equalization (CE) change detection algorithm for hyperspectral data. We analyze its weaknesses and suggest a method to improve the algorithm using normalization.
DOI: 10.1117/12.2584038
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c7c1a72cc74bb683407e483e2a2ea38a
https://doi.org/10.1117/12.2584038
رقم الانضمام: edsair.doi...........c7c1a72cc74bb683407e483e2a2ea38a
قاعدة البيانات: OpenAIRE