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On the effects of pan-sharpening to target detection
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009We present an experimental study on the effects of pansharp-ening on target detection from multispectral and panchromatic images acquired by very-high resolution satellite sensors. Original and spatially-enhanced image data are used to detect relatively small targets (vehicles on an airport scenario) characterized by a sufficiently well-defined ...
Garzelli, Andrea +2 more
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A Dual-Path Fusion Network for Pan-Sharpening
IEEE Transactions on Geoscience and Remote Sensing, 2022Most existing deep learning-based pan-sharpening methods own several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement. To address these challenges in pan-sharpening, we propose a novel dual-path fusion network (DPFN). The proposed DPFN includes two major components: 1) the global subnetwork (GSN) and 2)
Jiaming Wang 0001 +4 more
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Sparse representation based pan-sharpening
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013In this paper, we propose a novel pan-sharpening method which combines classical component substitution with recently developed sparse representation. We explore the sparse representations of multispectral and panchromatic images through two dictionaries which are trained to have the same sparse representations for each high-resolution and low ...
Wen Yin, Yuanxiang Li, Wenxian Yu
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Pan-Sharpening with a Hyper-Laplacian Penalty
2015 IEEE International Conference on Computer Vision (ICCV), 2015Pan-sharpening is the task of fusing spectral information in low resolution multispectral images with spatial information in a corresponding high resolution panchromatic image. In such approaches, there is a trade-off between spectral and spatial quality, as well as computational efficiency.
Yiyong Jiang +4 more
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Projective pan sharpening algorithm
SPIE Proceedings, 1996The main idea of pan sharpening is to combine registered high spatial resolution panchromatic (pan) and lower spatial resolution multispectral imagery to synthesize higher resolution multispectral imagery. The degree of misregistration between bands and the correlation of intensity values are key factors in generating radiometrically accurate and ...
John E. Lindgren, Steven Kilston
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Pan-Sharpening Using an Adaptive Linear Model
2010 20th International Conference on Pattern Recognition, 2010In this paper, we propose an algorithm to synthesize high-resolution multispectral images by fusing panchromatic (Pan) images and multispectral (MS) images. The algorithm is based on an adaptive linear model, which is automatically estimated by least square fitting.
Lining Liu +3 more
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Blind Multi-Spectral Image Pan-Sharpening
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020We address the problem of sharpening low spatial-resolution multi-spectral (MS) images with their associated misaligned high spatial-resolution panchromatic (PAN) image, based on priors on the spatial blur kernel and on the cross-channel relationship.
Lantao Yu +4 more
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An Adaptive Spectral Transformation Approach to Pan-Sharpening
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008Data transformation of multispectral imagery along the spectral dimension plays an important role in minimizing the spectral distortion of the resultant pan-sharpened image. Although there are various techniques available for spectral transformation, most of them are, data dependent. Hence, there is an ambiguity about the selection of the "appropriate"
Vijay P. Shah +2 more
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A Variational Pan-Sharpening With Local Gradient Constraints
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019Pan-sharpening aims at fusing spectral and spatial information, which are respectively contained in the multispectral (MS) image and panchromatic (PAN) image, to produce a high resolution multi-spectral (HRMS) image. In this paper, a new variational model based on a local gradient constraint for pan-sharpening is proposed.
Xueyang Fu +3 more
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Nonlinear IHS: A Promising Method for Pan-Sharpening
IEEE Geoscience and Remote Sensing Letters, 2016The goal of pan-sharpening is to increase the spatial resolution of multispectral or hyperspectral images using a high-spatial-resolution panchromatic image. The intensity–hue–saturation (IHS) method is one of the most popular pan-sharpening methods. The pan-sharpening framework of the IHS method is simple, efficient, and of high spatial quality.
Morteza Ghahremani, Hassan Ghassemian
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