Open AccessUnsupervised Change Detection in Hyperspectral Images using Principal Components Space Data Clustering
Author(s) -
Yinhe Li,
Jinchang Ren,
Yijun Yan,
Qiaoyuan Liu,
Andrei Petrovski,
John McCall
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2278/1/012021
Subject(s) - hyperspectral imaging , principal component analysis , pixel , pattern recognition (psychology) , artificial intelligence , dimensionality reduction , cluster analysis , centroid , mathematics , redundancy (engineering) , computer science , dimension (graph theory) , change detection , euclidean distance , feature vector , eigenvalues and eigenvectors , operating system , physics , quantum mechanics , pure mathematics