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Structure Tensor-Based Algorithm for Hyperspectral and Panchromatic Images Fusion

https://doi.org/10.3390/rs10030373
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36/36 checkable references clean · checked 2026-07-25

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 36 checked references that resolve
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Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields
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Hyperspectral imaging to classify and monitor quality of agricultural materials
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A Genetic-Programming-Based Method for Hyperspectral Data Information Extraction: Agricultural Applications
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Hyperspectral Pansharpening With Guided Filter
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Pan-sharpening using a guided filter
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A new look at IHS-like image fusion methods
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An Efficient Pan-Sharpening Method via a Combined Adaptive PCA Approach and Contourlets
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Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data
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A New Adaptive Component-Substitution-Based Satellite Image Fusion by Using Partial Replacement
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Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics
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Smoothing Filter-based Intensity Modulation: A spectral preserve image fusion technique for improving spatial details
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MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery
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Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening
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Comprehensive review on fusion techniques for spatial information enhancement in hyperspectral imagery
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Bayesian Fusion of Multi-Band Images
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A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization
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Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
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Learning the parts of objects by non-negative matrix factorization
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Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion
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A review of remote sensing image fusion methods
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Remote-sensing image fusion based on curvelets and ICA
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Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest
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A note on the gradient of a multi-image
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Edge and Junction Detection with an Improved Structure Tensor
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An improved algorithm for anisotropic nonlinear diffusion for denoising cryo-tomograms
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The 12 references without a DOI — listed, not checked
no DOI — not checkedHyperspectral remote sensing applied to mineral exploration in southern Peru: A multiple data integration approach in the Chapi Chiara gold prospect
no DOI — not checkedThe use of Intensity-Hue-Saturation transformations for merging SPOT panchromatic and multispectral image data
no DOI — not checkedComparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic
no DOI — not checkedExtracting spectral contrast in Landsat thematic mapper image data using selective principal component analysis
no DOI — not checkedA generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set
no DOI — not checkedLaben, C., and Brower, B. (2000). Process for Enhacing the Spatial Resolution of Multispectral Imagery Using Pan-Sharpening. (6,011,875), U.S. Patent.
no DOI — not checkedChen, C.H. (2011). 25 years of pansharpening: A critical review and new developments. Signal Image Processing for Remote Sensing, CRC Press. [2nd ed.]. Chapter 28.
no DOI — not checkedHoyer, P.O. (2002, January 6). Non negative sparse coding. Proceedings of the IEEE Workshop Neural Network Signal Processing, Martigny, Switzerland.
no DOI — not checkedFusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction
no DOI — not checkedA combined corner and edge detector
no DOI — not checkedWeickert, J., Schuster, O., and Richter, S. (2001, January 7–10). A tensor-driven active contour model for moving object segmentation. Proceedings of the 2001 International Conference on Image Processing, Thessaloniki, Greece.
no DOI — not checkedFusion of satellite images of different spatial resolutions: Assessing the quality of resulting images
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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