Classification and segmentation by unsupervised K-means technique based on decomposition of single-band remotely sensed images using wavelet transformation
Other Title(s)
تقنيات لتصنيف و تجزئة مناطق الصور المستشعرة عن أحادية الحزم بطرق غير مرشدة و باستخدام التحويل المويجي
Author
Source
Issue
Vol. 44, Issue 1 (31 Dec. 2003), pp.146-158, 13 p.
Publisher
University of Baghdad College of Science
Publication Date
2003-12-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
American Psychological Association (APA)
Ali, Salih Mahdi. 2003. Classification and segmentation by unsupervised K-means technique based on decomposition of single-band remotely sensed images using wavelet transformation. Iraqi Journal of Science،Vol. 44, no. 1, pp.146-158.
https://search.emarefa.net/detail/BIM-595052
Modern Language Association (MLA)
Ali, Salih Mahdi. Classification and segmentation by unsupervised K-means technique based on decomposition of single-band remotely sensed images using wavelet transformation. Iraqi Journal of Science Vol. 44, no. 1 (2003), pp.146-158.
https://search.emarefa.net/detail/BIM-595052
American Medical Association (AMA)
Ali, Salih Mahdi. Classification and segmentation by unsupervised K-means technique based on decomposition of single-band remotely sensed images using wavelet transformation. Iraqi Journal of Science. 2003. Vol. 44, no. 1, pp.146-158.
https://search.emarefa.net/detail/BIM-595052
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 158
Record ID
BIM-595052
