Abstract
A numerical algorithm of principal component analysis (PCA) is proposed and its application in remote sensing image processing is introduced:(1) Multispectral image compression; (2) Multi-spectral image noise cancellation; (3) Information fusion of multi-spectral images and spot panchromatic images. The software experiments verify and evaluate the effectiveness and accuracy of the proposed algorithm.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
