A Method for the Destriping of an Orbita Hyperspectral Image with Adaptive Moment Matching and Unidirectional Total Variation

Round 1

Reviewer 1 Report

There are not defined some variables, for example, in eq. 1, what is Bi and NGi?

In Table 4, is in seconds the running time ?

The introduction and experimental results are good.

 

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

Some aspects need better justification/explanation.

1) Selection of parameters (Section 5.4.1) - Seems based solely on experience, would it be different for different type of sensors? The authors claim the algorithm can be used successfully for other instruments, but they do not address if the parameter choice would be different in such a case. Please show experimental data that supports the selection of parameters.

2) Selection of bands -> subsets of bands are selected to obtain experimental results, but there is no justification on why those bands are selected. Depending on the algorithm type, a different subset is selected, why? Also for some experiments a sub image is selected, but authors do not say why.

3) Please include metric of Noise Reduction (NR), commonly used in similar works as in -> H. F., and L. P. Zhang. 2009. “A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images.” IEEE Transactions on Geoscience and Remote Sensing 47: 1492–1502; P. Rakwatin, W. Takeuchi, Y. Yasuoka, "Stripe noise reduction in MODIS data by combining histogram matching with facet filter", IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1844-1856, Jun. 2007 ; J. Chen, Y. Shao, H. Guo, W. Wang, B. Zhu, "Destriping CMODIS data by power filtering", IEEE Trans. Geosci. Remote Sens., vol. 41, no. 9, pp. 2119-2124, Sep. 2003.

4) Please revise the use of wording "same type" - "different type" in Section 5; seems confusing to me. Suggestion to use something in the line of "based on the same paradigm"

Author Response

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Reviewer 3 Report

This paper presents a destriping algorithm for orbita hyperspectral satellite. They use adaptive moment matching method and multi level unidirectional total variation method to remove stripes. The results and comparison presented in this paper are sufficient to demonstrate the novelity of this work. Overall, the paper is well written and organized; I have some minor suggestions for the better understanding of readers.

 

Lines 100, Please add couple of lines to explain the relation between stripe characteristics of OHS data.

Line 154-157, The sentence is too long and not clear.

Author Response

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Round 2

Reviewer 2 Report

The authors have successfully addressed all the remarks and the paper can be accepted.