What Can Multifractal Analysis Tell Us about Hyperspectral Imagery?

Round 1

Reviewer 1 Report

The authors have revised the manuscript according to the comments. They should ensure that all citations have numbers indicated in the text. For example, Mukherjee et al. in line 45 has no number.

Author Response

Dear Sir or Madam,

We gratefully appreciate your reviewing our paper on multifractal formalism in hyperspectral data analysis. In what follows we address your comments one by one, preceding – for Your convenience – our responses to each of them by citing each part of Your report beforehand.

Please do not hesitate to contact us further, should any of remarks below or our modifications to the final version of the paper appear needing more clarification or further refinements.

Yours faithfully,

Authors

P1. The authors have revised the manuscript according to the comments. They should ensure that all citations have numbers indicated in the text. For example, Mukherjee et al. in line 45 has no number.

Answer to P1.

We have corrected pointed mistake and additionally checked if all citations have numbers indicated in the text.

Author Response File: Author Response.docx

Reviewer 2 Report

The submission has been greatly improved. A minor revision would be necessary before acceptance for publication in this journal.

1) Line 220，Line 279, there are errors about the reference, please correct them. 

2) And I still think hyperspectral remote sensing classification pays more attention to the classification of similar ground features, such as cement road, asphalt road, which may have similar characteristics in spatial expression. The four landscape types chosen in this study can hardly prove the possible application in classification.

Author Response

Dear Sir or Madam,

We gratefully appreciate your reviewing our paper on multifractal formalism in hyperspectral data analysis. In what follows we address your comments one by one, preceding – for Your convenience – our responses to each of them by citing each part of Your report beforehand.

Please do not hesitate to contact us further, should any of remarks below or our modifications to the final version of the paper appear needing more clarification or further refinements.

Yours faithfully,

Authors

P1. Line 220，Line 279, there are errors about the reference, please correct them.

Answer to P1.

All the references have been checked and corrected.

P2. And I still think hyperspectral remote sensing classification pays more attention to the classification of similar ground features, such as cement road, asphalt road, which may have similar characteristics in spatial expression. The four landscape types chosen in this study can hardly prove the possible application in classification.

Answer to P2.

We agree that the biggest advantage of hyperspectral imagery is the possibility to distinguish different types of objects and their properties. In such approach spectral information of each pixel is analysed and it is one the three methodological approaches how multifractals can be applied for hyperspectral data. Examples of such applications are presented in Table 2.

In current manuscript we focus on one of two other approaches. Here each spectral band is analysed as multifractal (global multifractal approach). This approach was previously successfully applied mostly for panchromatic data ([24], [25]) and few multispectral examples [40].

Author Response File: Author Response.docx

Reviewer 3 Report

In this resubmitted version of their manuscript, the authors have generally answered the questions I had previously raised.
The quality of this new version has been significantly improved and the study has been completed accordingly.
The discussion provided and the conclusion drawn both objectively underline the benefits and limitations of the results established here, providing reasonable perspectives on the issues that remain open.

In the end, the manuscript is well structured and well written. The content is described in sufficient detail to fully understand the study and its scope. The study is, in my view, conducted correctly. The established results give objective information on the opportunity to characterise hyperspectral images of the Aviris type with, among others, multifractal descriptors. We would have liked to see other methods of calculating these descriptors compared. But but this is left for future work.

The whole is sufficiently relevant and informative and therefore deserves publication.

Author Response

Dear Sir or Madam,

We gratefully appreciate your reviewing our paper on multifractal formalism in hyperspectral data analysis. In what follows we address your comments one by one, preceding – for Your convenience – our responses to each of them by citing each part of Your report beforehand.

Please do not hesitate to contact us further, should any of remarks below or our modifications to the final version of the paper appear needing more clarification or further refinements.

Yours faithfully,

Authors

P1. In this resubmitted version of their manuscript, the authors have generally answered the questions I had previously raised.

The quality of this new version has been significantly improved and the study has been completed accordingly.

The discussion provided and the conclusion drawn both objectively underline the benefits and limitations of the results established here, providing reasonable perspectives on the issues that remain open.

In the end, the manuscript is well structured and well written. The content is described in sufficient detail to fully understand the study and its scope. The study is, in my view, conducted correctly. The established results give objective information on the opportunity to characterise hyperspectral images of the Aviris type with, among others, multifractal descriptors. We would have liked to see other methods of calculating these descriptors compared. But but this is left for future work.

The whole is sufficiently relevant and informative and therefore deserves publication.

Answer to P1.

We would like to thank for positive review.

Author Response File: Author Response.docx