TY - JOUR
T1 - Modification of generalized BDSD framework using joint products of spectral bands
AU - Wang, Lifeng
AU - Xiao, Ziwang
AU - Yu, Saisai
AU - Qu, Huijiang
AU - Abdalla, Rifaat
N1 - Funding Information:
In the process, this project was supported by the Key Project of Higher Education Reform of Heilongjiang Province [SJGZ20180003]; and by the Fundamental Research Funds for the Central Universities [2572019CP02]
Publisher Copyright:
© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - In this paper, a novel modification applies to the Band-Dependent Spatial Detail (BDSD) framework to improve the fusion performance interestingly. Joint multiplication terms have been added to the conventional BDSD framework to make it nonlinear BDSD. It has been shown that joint product terms would lead to a better estimation of detail maps for each spectral band. To support the idea presented here, three public domain sensors were selected to conduct the experimental studies. The objective evaluation was performed through no-referenced quality metrics. Based on the visual assessment of fusion products, the developed generalized BDSD (nonlinear BDSD) approach better preserves spectral and spatial information to the fused outcome in comparison to the competitor methods.
AB - In this paper, a novel modification applies to the Band-Dependent Spatial Detail (BDSD) framework to improve the fusion performance interestingly. Joint multiplication terms have been added to the conventional BDSD framework to make it nonlinear BDSD. It has been shown that joint product terms would lead to a better estimation of detail maps for each spectral band. To support the idea presented here, three public domain sensors were selected to conduct the experimental studies. The objective evaluation was performed through no-referenced quality metrics. Based on the visual assessment of fusion products, the developed generalized BDSD (nonlinear BDSD) approach better preserves spectral and spatial information to the fused outcome in comparison to the competitor methods.
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U2 - 10.1080/2150704X.2020.1782502
DO - 10.1080/2150704X.2020.1782502
M3 - Article
AN - SCOPUS:85087591953
SN - 2150-704X
VL - 11
SP - 857
EP - 865
JO - Remote Sensing Letters
JF - Remote Sensing Letters
IS - 9
ER -