Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

5.0K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
5.0K
Deconvolution01:20

Deconvolution

763
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...
763
Distance Corrections01:15

Distance Corrections

423
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
423
Glassware Calibration01:11

Glassware Calibration

2.0K
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
2.0K
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

4.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
4.3K
Doppler Effect - II01:05

Doppler Effect - II

4.1K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Promoter reinforcement supports transcriptional resilience in drug-resistant cancer.

Nature structural & molecular biology·2026
Same author

Pyroptosis-associated inflammasome activation contributes to scleral remodeling in experimental myopia.

International journal of ophthalmology·2026
Same author

Pediatric candidemia epidemiology and antifungal susceptibility profiles reported by the ISPED program in China, 2016-2024.

Antimicrobial agents and chemotherapy·2026
Same author

[Soil Microbial Nutrient Limitation Characteristics During Anthropogenic Transition from Desert Steppe to Shrubland].

Huan jing ke xue= Huanjing kexue·2026
Same author

Phylogenetic Comparison and Splice Site Conservation of the Animal SMNDC1 Gene Family.

Genesis (New York, N.Y. : 2000)·2026
Same author

High-efficiency generation of blastoids with gastrulation potential through Gata4-induced PrE specification in mESCs.

Cell discovery·2025

Related Experiment Video

Updated: Apr 24, 2026

Bringing the Visible Universe into Focus with Robo-AO
10:35

Bringing the Visible Universe into Focus with Robo-AO

Published on: February 12, 2013

21.4K

[A quickly atmospheric correction method for HJ-1 CCD with deep blue algorithm].

Zhong-Ting Wang, Hong-Mei Wang, Qing Li

    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |September 12, 2014
    PubMed
    Summary
    This summary is machine-generated.

    A new atmospheric correction method for HJ-1 CCD data improves reflectance accuracy for vegetation and soil. This fast, high-resolution technique enhances remote sensing analysis.

    More Related Videos

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
    08:18

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

    Published on: June 16, 2020

    8.1K
    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
    11:57

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

    Published on: May 20, 2013

    15.0K

    Related Experiment Videos

    Last Updated: Apr 24, 2026

    Bringing the Visible Universe into Focus with Robo-AO
    10:35

    Bringing the Visible Universe into Focus with Robo-AO

    Published on: February 12, 2013

    21.4K
    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
    08:18

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

    Published on: June 16, 2020

    8.1K
    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
    11:57

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

    Published on: May 20, 2013

    15.0K

    Area of Science:

    • Remote Sensing
    • Atmospheric Science
    • Image Processing

    Context:

    • HJ-1 CCD satellite data requires accurate atmospheric correction for reliable surface reflectance retrieval.
    • Existing methods may not fully address the specific characteristics of HJ-1 CCD imagery.
    • Accurate surface reflectance is crucial for environmental monitoring and land cover analysis.

    Purpose:

    • To develop and validate a novel atmospheric correction method for HJ-1 CCD camera data.
    • To improve the accuracy of surface reflectance products derived from HJ-1 CCD imagery.
    • To enable rapid and efficient atmospheric correction for large volumes of HJ-1 CCD data.

    Summary:

    • A new atmospheric correction method for HJ-1 CCD data integrates aerosol optical depth from MODIS, BRDF correction, and kernel-driven models.
    • The method utilizes lookup tables and bilinear interpolation for rapid grid calculation and matrix operations.
    • Experimental results over China North Plain demonstrate effective and quick correction, yielding reflectance values close to in-situ spectra for vegetation and soil.

    Impact:

    • The developed method provides finer spatial resolution reflectance imagery compared to MODIS products, with high correlation coefficients (>0.9).
    • Error analysis quantifies the impact of aerosol type recognition and reflectance database errors on surface reflectance accuracy.
    • This advancement enhances the utility of HJ-1 CCD data for detailed land surface studies and monitoring applications.