Articles with "spectral mixture" as a keyword



Photo from wikipedia

Inversion of Vegetation Components Based on the Spectral Mixture Analysis Using Hyperion Data

Sign Up to like & get
recommendations!
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… read more here.

Keywords: vegetation; inversion vegetation; spectral mixture; vegetation components ... See more keywords
Photo from wikipedia

Examining the effectiveness of weighted spectral mixture analysis (WSMA) in urban environments

Sign Up to like & get
recommendations!
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… read more here.

Keywords: spectral mixture; class variance; urban environments; wsma ... See more keywords
Photo by dawson2406 from unsplash

Urban Land Cover Mapping from Airborne Hyperspectral Imagery Using a Fast Jointly Sparse Spectral Mixture Analysis Method

Sign Up to like & get
recommendations!
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… read more here.

Keywords: spectral mixture; mixture analysis; jointly sparse; method ... See more keywords
Photo from wikipedia

Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series

Sign Up to like & get
recommendations!
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… read more here.

Keywords: rice; stacked generalization; method; spectral mixture ... See more keywords
Photo by thinkmagically from unsplash

Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising

Sign Up to like & get
recommendations!
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… read more here.

Keywords: lsmm nlmc; spectral mixture; mixture model; band ... See more keywords
Photo by thinkmagically from unsplash

Performance Evaluation and Comparison of Modified Spectral Mixture Analysis Method for Different Images of Landsat Series Satellites

Sign Up to like & get
recommendations!
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… read more here.

Keywords: spectral mixture; images landsat; delsma model; model ... See more keywords