Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Deconvolution

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...

Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Permeation of particle through a four-helix-bundle model channel.

The Journal of chemical physics·2005

Same author

Immunogenicity, safety, and protective efficacy of an inactivated SARS-associated coronavirus vaccine in rhesus monkeys.

Vaccine·2005

Same author

Phase III study of the Eastern Cooperative Oncology Group (ECOG 2597): induction chemotherapy followed by either standard thoracic radiotherapy or hyperfractionated accelerated radiotherapy for patients with unresectable stage IIIA and B non-small-cell lung cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2005

Same author

Towards automatic clustering of protein sequences.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005

Same author

Accelerating approximate subsequence search on large protein sequence databases.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005

Same author

Novel mutation (V505D) of the TGFBI gene found in a Chinese family with lattice corneal dystrophy, type I.

Japanese journal of ophthalmology·2005

Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026

Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026

Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026

Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026

Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026

Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 25, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Hyperspectral image compressed processing: Evolutionary multi-objective optimization sparse decomposition.

Li Wang¹, Wei Wang¹

¹Department of Electronic Engineering, Xi'an Aeronautical University, Xi'an, Shaanxi, China.

|April 29, 2022

Summary

This summary is machine-generated.

This study introduces a new evolutionary multi-objective optimization algorithm for hyperspectral image sparse decomposition, improving efficiency and accuracy over traditional methods like orthogonal matching pursuit (OMP). The NSGA-III-OMP algorithm enhances real-time processing capabilities for hyperspectral data analysis.

More Related Videos

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Related Experiment Videos

Last Updated: Sep 25, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Area of Science:

Remote Sensing and Signal Processing
Hyperspectral Imaging Analysis

Background:

Compressed processing of hyperspectral images often relies on orthogonal matching pursuit (OMP) for sparse decomposition.
OMP faces challenges with time complexity and real-time application limitations in hyperspectral data processing.

Purpose of the Study:

To develop an efficient and accurate sparse decomposition algorithm for hyperspectral images.
To address the real-time processing limitations of existing methods, specifically OMP.

Main Methods:

Proposed an evolutionary multi-objective optimization sparse decomposition algorithm integrating Reference Point Non-dominated Sorting Genetic Algorithm III (NSGA-III) with OMP.
Developed a multi-objective optimization model with two objectives: maximizing the inner product of matching atoms/image residuals and minimizing atom correlation.
Implemented and tested the NSGA-III-OMP algorithm on four hyperspectral datasets.

Main Results:

The NSGA-III-OMP algorithm demonstrated significant improvements in sparse decomposition performance and efficiency compared to state-of-the-art algorithms.
Experimental results validated the algorithm's effectiveness in solving the sparse decomposition optimization problem for hyperspectral images.
Enhanced accuracy and speed in sparse decomposition of hyperspectral data.

Conclusions:

The proposed NSGA-III-OMP algorithm offers a superior approach for hyperspectral image sparse decomposition.
This method effectively overcomes the time-complexity issues associated with traditional OMP, enabling better real-time processing.
The algorithm shows promise for advanced applications in hyperspectral data analysis.