المؤلفون: Deniz Kenan Kılıç, Peter Nielsen

المصدر: Sensors; Volume 22; Issue 23; Pages: 9172
Kılıç, D K & Nielsen, P 2022, ' Comparative Analyses of Unsupervised PCA K-Means Change Detection Algorithm from the Viewpoint of Follow-Up Plan ', Sensors, vol. 22, no. 23, 9172 . https://doi.org/10.3390/s22239172Test

مصطلحات موضوعية: SAR image change detection, Principal Component Analysis, Radar, follow-up plan, principal component analysis, k-means clustering, unsupervised learning, Biochemistry, Atomic and Molecular Physics, and Optics, Analytical Chemistry, SAR images, remote sensing, change detection, synthetic aperture radar, Cluster Analysis, Electrical and Electronic Engineering, Instrumentation, Algorithms

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa07aa49af6a5075c5c9f9b21f4bfa83Test

المؤلفون: Kılıç, Deniz Kenan¹ (AUTHOR) deniz.kenan.kilic@gmail.com, Nielsen, Peter¹ (AUTHOR)

المصدر: Sensors (14248220). Dec2022, Vol. 22 Issue 23, p9172. 26p.

مصطلحات موضوعية: *SYNTHETIC aperture radar, *PRINCIPAL components analysis, *K-means clustering, *ALGORITHMS, *COMPARATIVE studies, *TRUST