Title
Improved Clustering Algorithm for Change Detection in Remote Sensing
Abstract
Given quantization and clustering classification of the deviations between TM and ETM+ multi- bandwidth images based on approved thresholds, a calibration algorithm for the correlation coefficient in multi-bandwidth images is suggested in this paper. This experiment detected strong and proportional correlation relationship between the highest area of land surface temperature and the lowest area of vegetation index.
Year
Venue
Keywords
2008
JDCTA
remote sensing,change detection
Field
DocType
Volume
Calibration algorithm,Correlation coefficient,Land surface temperature,Change detection,Computer science,Vegetation Index,Remote sensing,Correlation,Quantization (signal processing),Cluster analysis
Journal
2
Issue
Citations 
PageRank 
2
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Hyung Moo Kim101.69
Hoon Sung Kwak201.69
Jae Soo Yoo37428.91