Results 121 to 130 of about 1,244,965 (221)

Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery

, 2015
The normal compositional model (NCM) has been introduced to characterize mixed pixels in hyperspectral images, particularly when endmember variability needs to be considered in the unmixing process.
Li, Jun, Zhang, Bing, Gao, Lianru, Plaza, Antonio, Zhuang, Lina   +4 more
core   +1 more source

A Spectral Variability and Class-Constrained Diffusion Model for Unsupervised Hyperspectral Unmixing

Remote Sensing
Hyperspectral remote sensing is increasingly utilized due to its high spectral resolution and broad observational capabilities, and hyperspectral unmixing aims to decompose mixed pixels into their constituent endmembers with corresponding classes.
Mingwei Wang, Kaiyuan Yang, Jingyan Lu, Wei Liu, Tian Zeng   +4 more
doaj   +1 more source

Quantification of Asian Dust Source Variabilities in Silt and Clay Fractions since 10 Ma by Parallel Factor (PARAFAC) Endmember Modeling at IODP Site U1425 in the Japan Sea

, 2022
Alison M. F. Lee, Airi Maruyama, Song Lu, Youhei Yamashita, Tomohisa Irino   +4 more
openalex   +1 more source

Endmember-Free Hyperspectral Unmixing

Unmixing networks for hyperspectral images (HSIs) often need to be redesigned for each sensor and initialized with endmember-estimation algorithms, which limits cross-scene generalization.
Weili Kong, Jamel Baili, Weiming Zheng, Baisen Liu, Longfei Hou, Jiaming Pei, Nazik Alturki   +6 more
core   +1 more source

Multi-task Disentangling Fusion Mamba-CNN for MODIS Spectral-Temporal Unmixing with Endmember Variability Modeling [PDF]

Motasem Alkayid, Yimin Zhu, Naser El‐Sheimy, Lincoln Linlin Xu   +3 more
openalex   +1 more source

Assessing local and transferable spectral endmembers for disturbance detection in Pinus sylvestris L. forests across Spain

GIScience & Remote Sensing
Differences in forest structure, species composition, and climate across biogeographical regions challenge the reliability of spectral models for forest disturbance monitoring.
Saioa Munuera, Cristina Gómez, Beatriz Águeda, Francisco Rodríguez-Puerta   +3 more
doaj   +1 more source

Efficient spectral unmixing using endmember variability [PDF]

Jordan Bryan, Peter Hoff, Galen Reeves
openalex   +1 more source

Assessing the discrepancies and uncertainties of regional shared and pixel-specific trapezoidal feature spaces using a Priestley-Taylor-based evapotranspiration model

GIScience & Remote Sensing
The vegetation index–land surface temperature (VI–LST) feature space method is widely used for regional evapotranspiration (ET) estimation, linking vegetation cover with the temperature–ET response while balancing model complexity and efficiency. The key
Lu Yang, Huade Guan, Songhao Shang
doaj   +1 more source

Rethinking Coupled Tensor Analysis for Hyperspectral Superresolution: Recoverable Modeling under Endmember Variability [PDF]

Meng Ding, Xiao Fu
openalex   +1 more source

Unmixing of hyperspectral data by incorporating spectral variability and spatial information

, 2016
Spectral unmixing enables quantitative information on the abundances of cover types to be estimated within each image pixel. Although many spectral unmixing methods have been developed, many of these cannot consider endmember variability, nor do they ...
Uezato, Tatsumi
core