Results 71 to 80 of about 77,969 (223)
Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues
Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali +2 more
wiley +1 more source
Sparse unmixing methods have been extensively studied as a popular topic in hyperspectral image analysis for several years. Fundamental model-based unmixing problems can be better reformulated by exploiting sparse constraints in different forms. Gradient-
Yapeng Miao, Bin Yang
doaj +1 more source
Multispectral Analysis Graphical User Interface for Ratiometric Analysis and Background Correction
This article describes multispectral analysis graphical user interface, an open‐source, cross‐platform graphical application for highly modular batch image analysis and visualization that requires no coding experience. With common image operations as a palette, users can define their own analysis pipeline (e.g., background subtraction into ...
Grayson R. Hoy, Caitlin M. Davis
wiley +1 more source
Nonnegative Reduced Biquaternion Matrix Factorization With Applications in Color Face Recognition
ABSTRACT Quaternion numbers are commonly used to represent color image pixels. Since color image pixels are nonnegative, nonnegativity constraint should be incorporated into the components of quaternion numbers. However, existing quaternion‐based matrix factorization models do not fully satisfy nonnegativity constraints.
Jifei Miao, Junjun Pan, Michael K. Ng
wiley +1 more source
Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review
Hyperspectral images often contain many mixed pixels, primarily resulting from their inherent complexity and low spatial resolution. To enhance surface classification and improve sub-pixel target detection accuracy, hyperspectral unmixing technology has ...
Jinlin Zou, Hongwei Qu, Peng Zhang
doaj +1 more source
Spatial regularized sparse unmixing has been proved as an effective spectral unmixing technique, combining spatial information and standard spectral signatures known in advance into the traditional spectral unmixing model in the form of sparse regression.
Ruyi Feng, Lizhe Wang, Yanfei Zhong
doaj +1 more source
Efficient denoising is of great significance to unmixing hyperspectral images. In the present study, a fast unmixing method for noisy hyperspectral images based on the combination of vertex component analysis and singular spectrum analysis is proposed ...
Dongmei Song +4 more
doaj +1 more source
Abstract In recent years, the health of the Indian River Lagoon (IRL) on Florida's east coast has fluctuated due to recurring harmful algal blooms (HABs). These events typically involve cyanobacteria, dinoflagellates, or A. lagunensis (brown tide) causing water‐quality degradation and seagrass decline.
McKenzie L. Woodman +3 more
wiley +1 more source
A Stochastic Approach for Recovery Times of Coastal Dune Vegetation
Abstract The resilience of coastal dunes to environmental stress largely depends on vegetation recovery, which promotes sediment trapping and sand stabilization. However, post‐disturbance recovery dynamics remain difficult to quantify due to the complex interplay between biotic and abiotic processes.
D. Demichele, C. Camporeale
wiley +1 more source
Spatial Structural Priors for Sparse Unmixing of Remotely Sensed Hyperspectral Images
As spectral libraries continue to expand, sparse unmixing has become essential for effectively interpreting mixed pixels in remotely sensed hyperspectral data.
Shaoquan Zhang +8 more
doaj +1 more source

