Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain

@article{Duran2019RestorationOP,
  title={Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain},
  author={Joan Duran and Antoni Buades},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2019},
  volume={16},
  pages={442-446}
}
  • J. Duran, A. Buades
  • Published 1 March 2019
  • Environmental Science, Mathematics
  • IEEE Geoscience and Remote Sensing Letters
Pansharpening techniques aim at fusing a low-spatial resolution multispectral (MS) image with a higher spatial resolution panchromatic (PAN) image to produce an MS image at high spatial resolution. Despite significant progress in the field, spectral and spatial distortions might still compromise the quality of the results. We introduce a restoration strategy to mitigate artifacts of fused products. After applying the principal component analysis transform to a pansharpened image, the chromatic… 

Figures and Tables from this paper

Image Restoration for the MRA-Based Pansharpening Method

TLDR
Compared to the enhanced back-projection (EBP) algorithm, the proposed restoration method is better in improving spectral and spatial quality of MRA-based pansharpening.

Turbulent-degraded image restoration via improved principal component analysis method

It is challenging to removing atmospheric turbulence-induced geometric distortion and blurry degradation simultaneously. The improved principal component analysis (i-PCA) method is proposed in this

fusionImage: An R package for pan‐sharpening images in open source software

The objective of this article is to evaluate the performance of three pan‐sharpening algorithms (high‐pass filter, principal component analysis and Gram–Schmidt) to increase the spatial resolution of

A CNN-Based Pan-Sharpening Method for Integrating Panchromatic and Multispectral Images Using Landsat 8

TLDR
A CNN-based pan-sharpening method based on a convolutional neural network architecture is proposed, where the low-spatial-resolution multispectral image is upgraded and integrated with the high-sp spatial-resolution panchromatic image to produce a new multisectral image with high spatial resolution.

Fusion of Panchromatic and Multispectral Images Using Multiscale Convolution Sparse Decomposition

TLDR
A unified framework based on MCSD is first utilized to decompose panchromatic (PAN) image and the spatial component of upsampled low spatial resolution multispectral (LR MS) images, which can produce the corresponding low frequencies and feature maps.

Multispectral to Panchromatic Image Fusion Based on Morphological Extended-Half-Gradient

TLDR
A pansharpening algorithm based on morphological extended-half-gradient that offers improved image fusion than using the morphological half-gradient is proposed and proves the potential of morphological image processing operations to be useful in the achievement of efficient panshARPening.

Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis

TLDR
A chip-based technique for large-scale, automatic land cover clustering of high-resolution remote sensing imagery (HR-RSI) using deep visual features from a deep convolutional neural network (DCNN) along with the fuzzy c-means algorithm is proposed.

References

SHOWING 1-10 OF 24 REFERENCES

Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening

TLDR
In this letter, two different injection methodologies are compared and the superiority of contrast-based methods both by physical consideration and by numerical tests carried out on remotely sensed data acquired by IKONOS and Quickbird sensors are motivated.

MTF-Based Deblurring Using a Wiener Filter for CS and MRA Pansharpening Methods

TLDR
A simple modification of component substitution and multiresolution analysis schemes where the interpolated MS image is replaced by its deblurred version, where the deblurring kernel is matched to the modulation transfer function of the MS sensor can significantly enhance the quality of the fused image.

A Survey of Pansharpening Methods with A New Band-Decoupled Variational Model

MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery

TLDR
This work presents a multiresolution framework for merging a multispectral image having an arbitrary number of bands with a higher-resolution panchromatic observation, and demonstrates that a superior spatial enhancement is achieved by means of the MTF-adjusted fusion.

A Nonlocal Variational Model for Pansharpening Image Fusion

TLDR
A new variational method for pansharpening is proposed which incorporates a nonlocal regularization term and two fidelity terms, one describing the relation between the panchromatic image and the high-resolution spectral channels and the other one preserving the colors from the low-resolution modality.

Multispectral and panchromatic data fusion assessment without reference

This paper introduces a novel approach for evaluating the quality of pansharpened multispectral (MS) imagery without resorting to reference originals. Hence, evaluations are feasible at the highest

A Theoretical Analysis of the Effects of Aliasing and Misregistration on Pansharpened Imagery

TLDR
In this paper, the characteristics of multispectral (MS) and panchromatic (P) image fusion methods are investigated and simulated misalignments evidence the quality-shift tradeoff of the two classes.

A Critical Comparison Among Pansharpening Algorithms

  • G. VivoneL. Alparone L. Wald
  • Environmental Science, Computer Science
    IEEE Transactions on Geoscience and Remote Sensing
  • 2015
TLDR
The authors attempt to fill the gap by providing a critical description and extensive comparisons of some of the main state-of-the-art pansharpening methods by offering a detailed comparison of their performances with respect to the different instruments.

Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images

TLDR
It is shown that the proposed method is computationally practical, even in the case of local optimization, and it outperforms the best state-of-the-art Pan-sharpening algorithms, as resulted from the IEEE Data Fusion Contest 2006, on true Ikonos and QuickBird data and on simulated Pleiades data.

A Method to Better Account for Modulation Transfer Functions in ARSIS-Based Pansharpening Methods

TLDR
A more precise definition of the synthesis property in terms of geometry is proposed and an improvement in all indices classically used in quality budget in pansharpening is observed.