The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008
good as PCA. At the same time, the entropies shows that the
result from IHS transform have lost some information from the
original data. But the result from PCA shows that the
information is increased. PCA is better than IHS transform in
fusion between LIDAR points and Ortho-photomap.
ACKNOWLEDGEMENT
This paper is full supported by National Natural Science
Foundation of China (Project No.40501061), National 863
High-tech Project “ Complicated Features’ Extraction and
Analysis from Central Districts in Metropolis”(Project ID:
2007AA12Z178) and Key Laboratory of Advanced
Engineering Surveying of SBSM (Project ID: ES-SBSM(07)-
07)
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