@inproceedings{585a78a7f08c49a9a0c2f608f3f6fe35,
title = "Spectral unmixing analysis of urban land cover fractions from landsat data",
abstract = "Geographic information of urban land-cover types is important for urban planning. This study explored the use of Landsat ETM imagery for mapping urban land-cover types in Ho Chi Minh City (HCMC) in 2010. Spectral unmixing model estimates abundance fractions of surface targets at sub-pixel level was used for urban-land cover mapping. This model was trained using endmembers extracted from the original image using minimum noise fraction (MNF) method. The mapping results was assessed using ground-verification data. The comparison results between classification map and ground-truth data revealed the overall accuracy of 89.6% and Kappa coefficient of 0.86. The results achieved from this study could be useful to assist local authorities in urban planning.",
keywords = "Land cover, Landsat, Spectral unmixing analysis",
author = "Son, {N. T.} and Chen, {C. F.} and Chen, {C. R.} and Chang, {L. Y.}",
year = "2011",
language = "???core.languages.en_GB???",
isbn = "9781618394972",
series = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011",
pages = "1654--1658",
booktitle = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011",
note = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011 ; Conference date: 03-10-2011 Through 07-10-2011",
}