Journal ArticleDOI
A review of remote sensing image fusion methods
TLDR
Some popular and state-of-the-art fusion methods in different levels especially at pixel level are reviewed and varied approaches and metrics for assessment of fused product are presented.About:
This article is published in Information Fusion.The article was published on 2016-11-01. It has received 574 citations till now. The article focuses on the topics: Image fusion & Pixel.read more
Citations
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Journal ArticleDOI
Deep learning for pixel-level image fusion: Recent advances and future prospects
TL;DR: This survey paper presents a systematic review of the DL-based pixel-level image fusion literature, summarized the main difficulties that exist in conventional image fusion research and discussed the advantages that DL can offer to address each of these problems.
Journal ArticleDOI
Developments in Landsat Land Cover Classification Methods: A Review
Darius Phiri,Justin Morgenroth +1 more
TL;DR: It is suggested that the development of land cover classification methods grew alongside the launches of a new series of Landsat sensors and advancements in computer science, and many advancements in specific classifiers and algorithms have occurred in the last decade.
Journal ArticleDOI
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion
TL;DR: This work proposes a novel unsupervised framework for pan-sharpening based on a generative adversarial network, termed as Pan-GAN, which does not rely on the so-called ground-truth during network training and has shown promising performance in terms of qualitative visual effects and quantitative evaluation metrics.
Journal ArticleDOI
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
Pedram Ghamisi,Behnood Rasti,Naoto Yokoya,Qunming Wang,Bernhard Höfle,Lorenzo Bruzzone,Francesca Bovolo,Mingmin Chi,Katharina Anders,Richard Gloaguen,Peter M. Atkinson,Jon Atli Benediktsson +11 more
TL;DR: An increase in remote sensing and ancillary data sets opens up the possibility of utilizing multimodal data sets in a joint manner to further improve the performance of the processing approaches with respect to applications at hand.
Journal ArticleDOI
Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges
TL;DR: The performance of the different categories of pansharpening methods developed between 2000 and 2016 is evaluated based on the idea of meta-analysis, by making a statistical analysis of the studies ever published.
References
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Journal ArticleDOI
The Laplacian Pyramid as a Compact Image Code
Peter J. Burt,Edward H. Adelson +1 more
TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
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A universal image quality index
Zhou Wang,Alan C. Bovik +1 more
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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The contourlet transform: an efficient directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.
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A transformation for ordering multispectral data in terms of image quality with implications for noise removal
TL;DR: In this paper, a transformation known as the maximum noise fraction (MNF) transformation is presented, which always produces new components ordered by image quality, and it can be shown that this transformation is equivalent to principal components transformations when the noise variance is the same in all bands and that it reduces to a multiple linear regression when noise is in one band only.
Journal ArticleDOI
Multisensor image fusion in remote sensing: Concepts, methods and applications
Christine Pohl,J.L. van Genderen +1 more
TL;DR: This review paper describes and explains mainly pixel based image fusion of Earth observation satellite data as a contribution to multisensor integration oriented data processing.