A. Singh and L. Eklundh, A Comparative Analysis of Standardised and Unstandardised Principal Components Analysis in Remote Sensing, International Journal of Remote Sensing, 14, (1993), 1359-1370. Home/Search Document Not in Database Summary Related Articles Check |
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A Concurrent Spectral-Screening PCT Algorithm For Remote.. - Achalakul, Taylor (2000) (Correct)
....common features in a scene (e.g. forests, roads, rivers) Therefore, data processing involves a significant degree of redundancy. The PCT algorithm is an approach that may utilize either a correlation matrix or a covariance matrix to de correlate the source images and thus remove this redundancy [3, 4]. The correlation matrix tends to prevent features with large numerical values from dominating the resulting bands. Although producing unbiased eigenvalues, this often distributes variation over a larger number of the resulting components than the covariance matrix. Our goal is to pack as much ....
A. Singh and L. Eklundh, A Comparative Analysis of Standardised and Unstandardised Principal Components Analysis in Remote Sensing, International Journal of Remote Sensing, 14, (1993), 13591370.
Real-time Multi-spectral Image Fusion - Achalakul, Taylor (Correct)
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A. Singh and L. Eklundh, A Comparative Analysis of Standardised and Unstandardised Principal Components Analysis in Remote Sensing, International Journal of Remote Sensing, 14, (1993), 1359-1370.
A Distributed Spectral-Screening Pct Algorithm - Achalakul, Taylor (2000) (1 citation) (Correct)
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Singh A. and Eklundh L., "A Comparative Analysis of Standardised and Unstandardised Principal Components Analysis in Remote Sensing", International Journal of Remote Sensing, vol. 14, 1993, pp1359-1370.
Resilient Image Fusion - Achalakul, al. (2000) (Correct)
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Singh A. and Eklundh L., "A Comparative Analysis of Standardised and Unstandardised Principal Components Analysis in Remote Sensing", International Journal of Remote Sensing, vol. 14, 1993, pp1359-1370.
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