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Tree-Structured Neural Network for Hyperspectral Pansharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral (HS) pansharpening refers to fusing low spatial resolution HS (LRHS) images with the corresponding panchromatic (PAN) images to create high spatial resolution HS (HRHS) images.
Lin He +5 more
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Optimal pansharpening of RASAT satellite imagery
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 Pansharpening is a pixel-level fusion technique for increasing the spatial resolution of low-resolution multi-spectral satellite imagery using high resolution panchromatic imagery. In this work, the performance of various pan sharpening algorithms in improving the 7.5 meter resolution of RASAT satellite imagery is compared Nine different pansharpening ...
Mustafa Teke 0001 +3 more
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ISPRS Open Journal of Photogrammetry and Remote Sensing, 2023 The compatibility of multispectral (MS) pansharpening algorithms with hyperspectral (HS) data is limited. With the recent development in HS satellites, there is a need for methods that can provide high spatial and spectral fidelity in both HS and MS ...
Tuomas Sihvonen +3 more
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No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Pansharpening refers to the process of enhancing the spatial resolution of a multispectral image with the help of a high spatial resolution panchromatic (PAN) image.
Neeraj Badal +3 more
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A Spectral-Aware Convolutional Neural Network for Pansharpening
Applied Sciences, 2020 Pansharpening aims at fusing a low-resolution multiband optical (MBO) image, such as a multispectral or a hyperspectral image, with the associated high-resolution panchromatic (PAN) image to yield a high spatial resolution MBO image.
Lin He, Dahan Xi, Jun Li, Jiawei Zhu
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SC-PNN: Saliency Cascade Convolutional Neural Network for Pansharpening
, 2021 In many remote sensing tasks, different types of regions or targets differ in requirements for spectral and spatial quality. The discrepancy reveals that a uniform pansharpening strategy applying to the entire image may not fulfill the varying demands of
Zhang, Jue +3 more
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THE EFFECT OF PANSHARPENING ALGORITHMS ON THE RESULTING ORTHOIMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper evaluates the geometric effects of pansharpening algorithms on automatically generated DSMs and thus on the resulting orthoimagery through a quantitative assessment of the accuracy on the end products. The main motivation was based on the fact
P. Agrafiotis +2 more
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Multi-resolution, multi-sensor image fusion: general fusion framework [PDF]
, 2011 Multi-resolution image fusion also known as pansharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g.
Palubinskas, Gintautas +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral (HS) pansharpening aims at fusing a low-resolution HS image with a high-resolution panchromatic (PAN) image to obtain a HS image with both higher spectral and spatial resolutions.
Yu-Wei Zhuo +5 more
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On the validation of pansharpening methods
CoRR, 2021 Validation of the quality of pansharpening methods is a difficult task because the reference is not directly available. In the meantime, two main approaches have been established: validation in reduced resolution and original resolution. In the former approach it is still not clear how the data are to be processed to a lower resolution.
openaire +3 more sources