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JDCTA
2008

Improved Clustering Algorithm for Change Detection in Remote Sensing

14 years 16 hour ago
Improved Clustering Algorithm for Change Detection in Remote Sensing
Given quantization and clustering classification of the deviations between TM and ETM+ multibandwidth 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.
Hyung Moo Kim, Hoon Sung Kwak, Jae Soo Yoo
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where JDCTA
Authors Hyung Moo Kim, Hoon Sung Kwak, Jae Soo Yoo
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