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Multi-scale decomposition for remote sensing image processing

Authors: Zhou Lijia; Qian Zhibo; Xu Guanlei;

Multi-scale decomposition for remote sensing image processing

Abstract

Based on image gradients, an alternative image multi-scale decomposition approach for remote sensing image processing is derived through solving a Poisson equation in this paper. First, the image gradients are obtained. Second, the gradients with given magnitudes are attenuated using some operators. Finally, the modified gradients are used to solve a Poisson equation to obtain the smooth base layer and thus the detail layer. This multi-scale decomposition approach is used for remote sensing image enhancement and remote sensing image smoothing, which outperforms the other methods such as bilateral filter (BLF) and weighted least squares based multi-scale decomposition (WLSMD) in edge-preserving image decomposition via experiments.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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