Enhanced Back-Projection as Postprocessing for Pansharpening
<i>Pansharpening</i> is the process of integrating a high spatial resolution panchromatic image with a low spatial resolution multispectral image to obtain a multispectral image with high spatial and spectral resolution. Over the last decade, several algorithms have been developed for pa...
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doaj-067ecb8a66774358abcd4bcfa8ecb6972020-11-24T22:10:57ZengMDPI AGRemote Sensing2072-42922019-03-0111671210.3390/rs11060712rs11060712Enhanced Back-Projection as Postprocessing for PansharpeningJunmin Liu0Jing Ma1Rongrong Fei2Huirong Li3Jiangshe Zhang4School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Mathematics and Computer Application, Shangluo University, Shangluo 726000, ChinaSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China<i>Pansharpening</i> is the process of integrating a high spatial resolution panchromatic image with a low spatial resolution multispectral image to obtain a multispectral image with high spatial and spectral resolution. Over the last decade, several algorithms have been developed for pansharpening. In this paper, a technique, called <i>enhanced back-projection</i> (EBP), is introduced and applied as postprocessing on the pansharpening. The proposed EBP first enhances the spatial details of the pansharpening results by <i>histogram matching</i> and <i>high-pass modulation</i>, followed by a <i>back-projection</i> process, which takes into account the <i>modulation transfer function</i> (MTF) of the satellite sensor such that the pansharpening results obey the <i>consistency</i> property. The EBP is validated on four datasets acquired by different satellites and several commonly used pansharpening methods. The pansharpening results achieve substantial improvements by this postprocessing technique, which is widely applicable and requires no modification of existing pansharpening methods.https://www.mdpi.com/2072-4292/11/6/712Pansharpeningback-projectionimage fusionpostprocessingmodulation transfer function |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Junmin Liu Jing Ma Rongrong Fei Huirong Li Jiangshe Zhang |
spellingShingle |
Junmin Liu Jing Ma Rongrong Fei Huirong Li Jiangshe Zhang Enhanced Back-Projection as Postprocessing for Pansharpening Remote Sensing Pansharpening back-projection image fusion postprocessing modulation transfer function |
author_facet |
Junmin Liu Jing Ma Rongrong Fei Huirong Li Jiangshe Zhang |
author_sort |
Junmin Liu |
title |
Enhanced Back-Projection as Postprocessing for Pansharpening |
title_short |
Enhanced Back-Projection as Postprocessing for Pansharpening |
title_full |
Enhanced Back-Projection as Postprocessing for Pansharpening |
title_fullStr |
Enhanced Back-Projection as Postprocessing for Pansharpening |
title_full_unstemmed |
Enhanced Back-Projection as Postprocessing for Pansharpening |
title_sort |
enhanced back-projection as postprocessing for pansharpening |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2019-03-01 |
description |
<i>Pansharpening</i> is the process of integrating a high spatial resolution panchromatic image with a low spatial resolution multispectral image to obtain a multispectral image with high spatial and spectral resolution. Over the last decade, several algorithms have been developed for pansharpening. In this paper, a technique, called <i>enhanced back-projection</i> (EBP), is introduced and applied as postprocessing on the pansharpening. The proposed EBP first enhances the spatial details of the pansharpening results by <i>histogram matching</i> and <i>high-pass modulation</i>, followed by a <i>back-projection</i> process, which takes into account the <i>modulation transfer function</i> (MTF) of the satellite sensor such that the pansharpening results obey the <i>consistency</i> property. The EBP is validated on four datasets acquired by different satellites and several commonly used pansharpening methods. The pansharpening results achieve substantial improvements by this postprocessing technique, which is widely applicable and requires no modification of existing pansharpening methods. |
topic |
Pansharpening back-projection image fusion postprocessing modulation transfer function |
url |
https://www.mdpi.com/2072-4292/11/6/712 |
work_keys_str_mv |
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