Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 27, Issue 21, Pages 4899-4910Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431160600702640
Keywords
-
Ask authors/readers for more resources
This paper describes a modified pattern decomposition method with a supplementary pattern. The proposed approach can be regarded either as a type of spectral mixing analysis or as a kind of multivariate analysis; the later explanation is more suitable considering the presence of the additional supplementary patterns. The sensor-independent method developed herein uses the same normalized spectral patterns for any sensor: fixed multi-band (1260 bands) spectra serve as the universal standard spectral patterns. The resulting pattern decomposition coefficients showed sensor independence. That is, regardless of sensor, the three coefficients had nearly the same values for the same samples. The estimation errors for pattern decomposition coefficients depended on the sensor used. The estimation errors for Landsat/MSS and ALOS/AVNIR-2 were larger than those of Landsat/TM (ETM+), Terra/MODIS and ADEOS-II/GLI. The latter three sensors had negligibly small errors.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available