Semi-automatic general approach to achieve the practical number of clusters for classification of remote sensing MS satellite images

• Published in: Spatial information research (Online) Vol. 28; no. 2; pp. 203 - 213
• Main Authors: Serwa, A., El-Semary, Hossam H.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.04.2020; 대한공간정보학회
• Subjects: Database Management; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Remote Sensing/Photogrammetry; 공학일반; K-means; Unsupervised classification; Multi spectral scanner (MSS); Remote sensing

The main objective of this research is to find a semi-automatic method to determine the practical number of clusters in MS satellite images. This study puts a general skeleton for determining the practical number of classes in multi spectral (MS) remote sensing images. The sequence of the research s...