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...

You might also read

Related Articles

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

Sort by

Same author

Molecular mechanisms of EPAS1 in regulating pulmonary vascular remodeling in COPD: a review.

Molecular biology reports·2026

Same author

The Role of <i>Trichoderma harzianum</i> Elicitor <i>Hyd1</i> in Inducing the Maize Endophytic Microbial Community and <i>Bacillus</i> Strains Against Maize Root Rot.

Journal of fungi (Basel, Switzerland)·2026

Same author

Safety Profile of COVID-19 Vaccines in HIV Patients Undergoing ART and Their Impact on Immune Recovery and HIV Reservoirs.

Infectious diseases & immunity·2026

Same author

Non-linear saturation threshold of gonadotropin dose on cumulative live birth rates in advanced-age women with polycystic ovary syndrome: a retrospective cohort study.

Frontiers in endocrinology·2026

Same author

<i>EPAS1</i> and <i>VEGFA</i> Polymorphisms Modulate COPD Susceptibility in a High-Altitude Population: A Case-Control Study.

International journal of chronic obstructive pulmonary disease·2026

Same author

<i>PPARA</i> Gene Polymorphisms and Their Association with COPD in Tibetan and Han Populations from Gansu, China.

International journal of chronic obstructive pulmonary disease·2026

Search research articles

Related Experiment Video

Updated: Jul 11, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

End-to-End Multi-Scale Adaptive Remote Sensing Image Dehazing Network.

Xinhua Wang^1,2, Botao Yuan¹, Haoran Dong¹

¹School of Computer Science, Northeast Electric Power University, Jilin 132012, China.

Sensors (Basel, Switzerland)

|January 11, 2025

Summary

This study introduces a new multi-scale adaptive feature extraction method (MSD-Net) to remove atmospheric haze from remote sensing images. The method effectively restores lost details and texture information, improving image quality for Earth observation.

Keywords:

dilated convolution multi-scale feature extraction remote sensing for defogging self-adaptive attention

More Related Videos

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

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Jul 11, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

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

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Area of Science:

Remote Sensing
Image Processing
Computer Vision

Background:

Atmospheric haze significantly degrades remote sensing image quality.
Loss of detail in hazy images impacts Earth observation and environmental monitoring applications.

Purpose of the Study:

To propose an end-to-end multi-scale adaptive feature extraction method for remote sensing image dehazing (MSD-Net).
To enhance the extraction of global and local features from hazy remote sensing images.

Main Methods:

Introduced a dilated convolution adaptive module for multi-scale feature extraction.
Incorporated a self-adaptive attention mechanism to adjust receptive fields based on image content.
Utilized feature fusion technology to integrate multi-scale information.

Main Results:

The MSD-Net method demonstrated superior performance in restoring original details and texture information.
Experiments on HRRSD and RICE datasets confirmed the method's effectiveness in dehazing.
The proposed approach outperforms current state-of-the-art dehazing methods.

Conclusions:

MSD-Net effectively addresses haze-induced information loss in remote sensing images.
The multi-scale adaptive approach enhances feature representation and image quality.
This method offers a significant improvement for remote sensing image analysis.