Results 11 to 20 of about 4,917 (234)
Target-adaptive CNN-based pansharpening [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2018 We recently proposed a convolutional neural network (CNN) for remote sensing image pansharpening obtaining a significant performance gain over the state of the art.
Cozzolino, Davide +2 more
core +3 more sources
Variational Zero-Shot Multispectral Pansharpening [PDF]
IEEE Transactions on Geoscience and Remote SensingPansharpening aims to generate a high spatial-resolution multispectral image (HRMS) by fusing a low spatial-resolution multispectral image (LRMS) and a panchromatic image (PAN).
Xiangyu Rui +3 more
semanticscholar +3 more sources
Pansharpening by Convolutional Neural Networks [PDF]
Remote Sensing, 2016 A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for super-resolution to the pansharpening problem.
Giuseppe Masi +3 more
semanticscholar +5 more sources
An Adaptive Injection Model for Pansharpening. [PDF]
Comput Intell Neurosci, 2023 Pansharpening technology is used to acquire a multispectral image with high spatial resolution from a panchromatic (PAN) image and a multispectral (MS) image. The detail injection model is popular for its flexibility. However, the accuracy of the injection gain and the extracted details may greatly influence the quality of the pansharpened image.
Song Q, Ding C, Ren J, Liu L, Lu H.
europepmc +3 more sources
Hyperspectral Pansharpening: A Review [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2015 Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literature for pansharpening using multispectral data.
Loncan L. +14 more
openaire +4 more sources
PANSHARPENING OF HYPERSPECTRAL IMAGES IN URBAN AREAS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Pansharpening has proven to be a valuable method for resolution enhancement of multi-band images when spatially high-resolving panchromatic images are available in addition. In principle, pansharpening can beneficially be applied to hyperspectral images
C. Chisense +3 more
doaj +1 more source
Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral (HS) pansharpening aims at fusing a low-resolution HS (LRHS) image with a panchromatic image to obtain a full-resolution HS image. Most of the existing HS pansharpening approaches are usually based on traditional multispectral pansharpening
Lin He +5 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Full-Resolution Quality Assessment for Pansharpening
Remote Sensing, 2022 A reliable quality assessment procedure for pansharpening methods is of critical importance for the development of the related solutions. Unfortunately, the lack of ground truths to be used as guidance for an objective evaluation has pushed the community to resort to two approaches, which can also be jointly applied.
Giuseppe Scarpa, Matteo Ciotola
openaire +4 more sources