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Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1539270
Abstract: ABSTRACT Spectral mixture analysis (SMA) has been widely applied for estimating fractional land-cover types from remote sensing pixels. SMA typically assumes each spectral band has equal contribution to the unmixing results, which has attracted debates…
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Keywords:
spectral mixture;
class variance;
urban environments;
wsma ... See more keywords