A Novel Hybrid Pan-Sharpen Method Using IHS Transform and Optimization Article Swipe

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YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.4236/ars.2017.63017

Intensity-hue-saturation (IHS) transform is the most commonly used method for image fusion purpose. Usually, the intensity image is replaced by Panchromatic (PAN) image, or the difference between PAN and intensity image is added to each bands of RGB images. Spatial structure information in the PAN image can be effectively injected into the fused multi-spectral (MS) images using IHS method. However, spectral distortion has become the typical factor deteriorating the quality of fused results. A hybrid image fusion method which integrates IHS and minimum mean-square-error (MMSE) was proposed to mitigate the spectral distortion phenomenon in this study. Firstly, IHS transform was used to derive the intensity image; secondly, the MMSE algorithm was used to fuse the histogram matched PAN image and intensity image; thirdly, optimization calculation was employed to derive the combination coefficients, and the new intensity image could be expressed as the combination of intensity image and PAN image. Fused MS images with high spatial resolution can be generated by inverse IHS transform. In numerical experiments, QuickBird images were used to evaluate the performance of the proposed algorithm. It was found that the spatial resolution was increased significantly; meanwhile, spectral distortion phenomenon was abated in the fusion results.

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Artificial Intelligence

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Panchromatic film Image fusion Artificial intelligence Computer vision Distortion (music) Image resolution Hybrid image Image (mathematics) Mathematics Histogram Intensity (physics) RGB color model Minimum mean square error Computer science Optics Physics Computer network Amplifier Bandwidth (computing) Estimator Statistics

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Type: article
Language: en
Landing Page: https://doi.org/10.4236/ars.2017.63017
PDF: http://www.scirp.org/journal/PaperDownload.aspx?paperID=79461
OA Status: diamond
Cited By: 4
References: 25
Related Works: 10
OpenAlex ID: https://openalex.org/W2758158981

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DOI: https://doi.org/10.4236/ars.2017.63017

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Title: A Novel Hybrid Pan-Sharpen Method Using IHS Transform and Optimization

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Type: article

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Language: en

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Publication year: 2017

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Publication date: 2017-01-01

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Authors: Haiyong Ding, Wenzhong Shi

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Landing page: https://doi.org/10.4236/ars.2017.63017

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PDF URL: https://www.scirp.org/journal/PaperDownload.aspx?paperID=79461

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Concepts: Panchromatic film, Image fusion, Artificial intelligence, Computer vision, Distortion (music), Image resolution, Hybrid image, Image (mathematics), Mathematics, Histogram, Intensity (physics), RGB color model, Minimum mean square error, Computer science, Optics, Physics, Computer network, Amplifier, Bandwidth (computing), Estimator, Statistics

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Cited by: 4

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Citations by year (recent): 2024: 1, 2023: 2, 2020: 1

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abstract_inverted_index.matched	116
abstract_inverted_index.method.	58
abstract_inverted_index.minimum	82
abstract_inverted_index.quality	69
abstract_inverted_index.spatial	154, 183
abstract_inverted_index.typical	65
abstract_inverted_index.Firstly,	96
abstract_inverted_index.However,	59
abstract_inverted_index.Usually,	13
abstract_inverted_index.commonly	6
abstract_inverted_index.employed	126
abstract_inverted_index.evaluate	171
abstract_inverted_index.injected	49
abstract_inverted_index.mitigate	88
abstract_inverted_index.proposed	86, 176
abstract_inverted_index.purpose.	12
abstract_inverted_index.replaced	18
abstract_inverted_index.results.	72, 197
abstract_inverted_index.spectral	60, 90, 189
abstract_inverted_index.thirdly,	122
abstract_inverted_index.QuickBird	166
abstract_inverted_index.algorithm	109
abstract_inverted_index.expressed	139
abstract_inverted_index.generated	158
abstract_inverted_index.histogram	115
abstract_inverted_index.increased	186
abstract_inverted_index.intensity	15, 29, 104, 120, 135, 144
abstract_inverted_index.numerical	164
abstract_inverted_index.secondly,	106
abstract_inverted_index.structure	40
abstract_inverted_index.transform	2, 98
abstract_inverted_index.algorithm.	177
abstract_inverted_index.difference	25
abstract_inverted_index.distortion	61, 91, 190
abstract_inverted_index.integrates	79
abstract_inverted_index.meanwhile,	188
abstract_inverted_index.phenomenon	92, 191
abstract_inverted_index.resolution	155, 184
abstract_inverted_index.transform.	162
abstract_inverted_index.calculation	124
abstract_inverted_index.combination	130, 142
abstract_inverted_index.effectively	48
abstract_inverted_index.information	41
abstract_inverted_index.performance	173
abstract_inverted_index.Panchromatic	20
abstract_inverted_index.experiments,	165
abstract_inverted_index.optimization	123
abstract_inverted_index.coefficients,	131
abstract_inverted_index.deteriorating	67
abstract_inverted_index.multi-spectral	53
abstract_inverted_index.significantly;	187
abstract_inverted_index.mean-square-error	83
abstract_inverted_index.Intensity-hue-saturation	0
cited_by_percentile_year.max	96
cited_by_percentile_year.min	89
countries_distinct_count	2
institutions_distinct_count	2
citation_normalized_percentile.value	0.60869835
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False