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...

Full description

Bibliographic Details
Main Authors: Junmin Liu, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/6/712
id doaj-067ecb8a66774358abcd4bcfa8ecb697
record_format Article
spelling 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 AT junminliu enhancedbackprojectionaspostprocessingforpansharpening
AT jingma enhancedbackprojectionaspostprocessingforpansharpening
AT rongrongfei enhancedbackprojectionaspostprocessingforpansharpening
AT huirongli enhancedbackprojectionaspostprocessingforpansharpening
AT jiangshezhang enhancedbackprojectionaspostprocessingforpansharpening
_version_ 1725806271479676928