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Journal ArticleDOI

A novel method for destriping of OCM-2 data and radiometric performance analysis for improved ocean color data products

TLDR
In this paper, a new operational algorithm has been developed that employs an inverted gaussian function to estimate error fraction parameters, which are uncorrelated and vary in spatial, spectral and temporal domains.
About
This article is published in Advances in Space Research.The article was published on 2018-06-01. It has received 3 citations till now. The article focuses on the topics: Ocean color & Atmospheric correction.

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Citations
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Journal ArticleDOI

Multiscale Intensity Propagation to Remove Multiplicative Stripe Noise From Remote Sensing Images

TL;DR: The results of extensive experiments on simulated and real remote sensing image data demonstrate that the proposed method can, in most cases, yield desirable results and can conform to the requirements of engineering applications.
Journal ArticleDOI

An Improved Method for Destriping of VIIRS Day/Night Band Images

TL;DR: In this article , an improved method was developed to reduce the noise effects and evaluate the denoised output data to ensure its radiometric integrity and quality. But the results are excellent in terms of successfully removing the striping noise and reconstructing the denodised images without spatial discontinuity across the scene regardless of its observation condition.
Journal ArticleDOI

An Improved Method for Destriping of VIIRS Day/Night Band Images

- 01 Jan 2022 - 
TL;DR: In this article , a method to reduce the noise effects and evaluate the denoised output data to ensure its radiometric integrity and quality was proposed and tested on several day/night and twilight images captured over different regions with varying light conditions.
References
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Journal ArticleDOI

A universal image quality index

TL;DR: Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
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An overview of MODIS radiometric calibration and characterization

TL;DR: The MODIS is a major advance over the previous generation of sensors in terms of its spectral, spatial, and temporal resolutions as mentioned in this paper, and is one of the key instruments for NASA's Earth Observing System (EOS), currently operating on both the Terra and Aqua satellites.
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Destriping multisensor imagery with moment matching

TL;DR: An alternative algorithm is suggested which matches the gain and offset of each sensor to typical values, and which is resistant to the effects of outliers.
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On-Orbit Calibration and Performance of Aqua MODIS Reflective Solar Bands

TL;DR: On-orbit results show that Aqua MODIS onboard calibrators have performed well, enabling accurate calibration coefficients to be derived and updated for the Level 1B production and assuring high-quality science data products to be continuously generated and distributed.
Journal ArticleDOI

Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model

TL;DR: Basic statistical assumptions used in previous techniques are replaced by a much realistic geometrical consideration on the striping unidirectional variations and the resulting algorithm is tested on Aqua and Terra MODIS data contaminated with severe stripes and is shown to provide optimal qualitative and quantitative results.
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