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Published in 2017 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-017-0661-2
Abstract: Hyper spectral remote sensing is widely used to identify ground objects as a result of the advantages of ground radiation intensity characteristics and spectral position characteristics, in which inversion of vegetation components is the difficult…
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Keywords:
vegetation;
inversion vegetation;
spectral mixture;
vegetation components ... See more keywords
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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
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Published in 2020 at "Canadian Journal of Remote Sensing"
DOI: 10.1080/07038992.2020.1791693
Abstract: Abstract Due to the fragmented compositional structure of urban scenes, many pixels are mixtures of multiple materials even in high spatial resolution airborne hyperspectral data. In the past ten years, sparse regression based spectral unmixing…
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Keywords:
spectral mixture;
mixture analysis;
jointly sparse;
method ... See more keywords
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Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2994335
Abstract: Paddy rice is a major stable food, accounting for about 20% world's food supply. And the rice paddy, an important artificial wetland type, plays an important role in the regional ecological environment. This study proposes…
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Keywords:
rice;
stacked generalization;
method;
spectral mixture ... See more keywords
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Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2967587
Abstract: Although efficient hyperspectral image (HSI) denoising relies on complete and accurate description and modeling the spatial–spectral signal in HSI, the current approaches do not fully account for key characteristics of HSI, i.e., the mixed spectra…
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Keywords:
lsmm nlmc;
spectral mixture;
mixture model;
band ... See more keywords
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Published in 2019 at "Sustainability"
DOI: 10.3390/su11226227
Abstract: Urban impervious surface is considered one of main factors affecting urban heat island and urban waterlogging. It is commonly extracted utilizing the original linear spectral mixture analysis (LSMA) model. However, due to the deficiencies of…
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Keywords:
spectral mixture;
images landsat;
delsma model;
model ... See more keywords