Results 1 to 10 of about 152,938 (206)

Reducing the Effect of the Endmembers’ Spectral Variability by Selecting the Optimal Spectral Bands

Remote Sensing, 2017
Variable environmental conditions cause different spectral responses of scene endmembers. Ignoring these variations affects the accuracy of fractional abundances obtained from linear spectral unmixing. On the other hand, the correlation between the bands
Omid Ghaffari, Mohammad Javad Valadan Zoej, Mehdi Mokhtarzade   +2 more
doaj   +4 more sources

Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability [PDF]

Sensors, 2023
The aim of fusing hyperspectral and multispectral images is to overcome the limitation of remote sensing hyperspectral sensors by improving their spatial resolutions.
Salah Eddine Brezini, Yannick Deville
doaj   +2 more sources

Spectral Variability in a Multilinear Mixing Model [PDF]

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
We present a new method for spectral unmixing which takes both nonlinear mixing and spectral variability into account. This is accomplished by combining the multiple endmember spectral mixture analysis (MESMA) approach with the recently developed multilinear mixing model (MLM).
Thorvald Dox, Rob Heylen, Paul Scheunders   +2 more
openaire   +3 more sources

Intra- and Inter-Individual Spectral Pattern Variability of sEMG in Elbow Flexor Motor Tasks [PDF]

Sensors
Understanding intra- and inter-individual variability in muscle activation is essential for applications in rehabilitation, ergonomics, and motor control research.
Piotr S. Wawryka, Ludwin Molina Arias, Grzegorz Frankowski, Patryk Ciężarek, Joanna Zyznawska, Jan T. Duda   +5 more
doaj   +2 more sources

Identify Informative Bands for Hyperspectral Target Detection Using the Third-Order Statistic

Remote Sensing, 2021
Constrained energy minimization (CEM) has been proposed and widely researched in the field of hyperspectral target detection. Generally, it selects one of the target spectra as the representative and then keeps its output constant while minimizing the ...
Xiurui Geng, Lei Wang, Luyan Ji
doaj   +1 more source

Spectral variability in fine-scale drone-based imaging spectroscopy does not impede detection of target invasive plant species

Frontiers in Remote Sensing, 2023
Land managers are making concerted efforts to control the spread of invasive plants, a task that demands extensive ecosystem monitoring, for which unoccupied aerial vehicles (UAVs or drones) are becoming increasingly popular.
Kelsey Huelsman, Howard Epstein, Xi Yang, Lydia Mullori, Lucie Červená, Roderick Walker   +5 more
doaj   +1 more source

Deep Constrained Energy Minimization for Hyperspectral Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral images contain abundant spectral information, which provides great potential for detecting targets that cannot be analyzed with color images.
Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen   +3 more
doaj   +1 more source

Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects

Remote Sensing, 2023
In a previous paper, we introduced (i) a specific hyperspectral mixing model for the sea bottom, based on a detailed physical analysis that includes the adjacency effect, and (ii) an associated unmixing method that is supervised (i.e., not blind) in the ...
Yannick Deville, Salah-Eddine Brezini, Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Mireille Guillaume, Xavier Lenot, Bruno Lafrance, Malik Chami, Sylvain Jay, Audrey Minghelli, Xavier Briottet, Véronique Serfaty   +11 more
doaj   +1 more source

Spatiotemporal Continuous Impervious Surface Mapping by Fusion of Landsat Time Series Data and Google Earth Imagery

Remote Sensing, 2021
The monitoring of impervious surfaces in urban areas using remote sensing with fine spatial and temporal resolutions is crucial for monitoring urban development and environmental changes in urban areas.
Rui Chen, Xiaodong Li, Yihang Zhang, Pu Zhou, Yalan Wang, Lingfei Shi, Lai Jiang, Feng Ling, Yun Du   +8 more
doaj   +1 more source

Unsupervised Nonlinear Hyperspectral Unmixing with Reduced Spectral Variability via Superpixel-Based Fisher Transformation

Remote Sensing, 2023
In hyperspectral unmixing, dealing with nonlinear mixing effects and spectral variability (SV) is a significant challenge. Traditional linear unmixing can be seriously deteriorated by the coupled residuals of nonlinearity and SV in remote sensing ...
Zhangqiang Yin, Bin Yang
doaj   +1 more source