RMCMamba: A Multi-Factor High-Speed Railway Bridge Pier Settlement Prediction Method Based on RevIN and MARSHead

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Dear Authors,

The manuscript makes good use of academic English and it is easy to read and understand. As such, all sections of the manuscript (i.e. abstract, introduction, methodology, Experimental Design, Experimental results and analysis, Discussion, and conclusion) are clearly presented and well organised. The manuscript also counts with good support from tables, figures and maps which make it easier to appreciate the location of the study area. Also, the manuscript is grounded in a robust, end-to-end methodology, beginning with E-PS-InSAR for data acquisition and culminating in a comprehensive set of experiments. There is also a wealth of academic references to support the specific modelling set-up used in this work, and most of them are from the last decade. Finally, the research is a useful and significant contribution to the fields of remote sensing. My recommendation would be to accept the manuscript for publication after a minor revision concerning the following points which might also be useful to increase the quality and the utility of the work:

-          Abstract: restructuring these sections to first present the problem and solution, then summarize the key finding, and discuss the broader implications.

-          Introduction (Lines 102 to138): Refining this section would improve the logical flow.

-          Discussion: You could enrich this section some more if you could provide.

-          Add all the references (please the comment in the manuscript)

I believe that addressing these points will significantly improve the quality and impact of the manuscript. I look forward to seeing a revised version.

My final comments for the editor and the authors are the same and can be found below and in the attached pdf file.

Sincerely,

Comments for author File: Comments.pdf

Author Response

Please see the attachment for responses to related questions.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

In order to achieve accurate prediction of HSR-BP, this paper proposes a high-speed railway BP settlement prediction model RMCMamba that considers multiple factors. Using E-PS InSAR technology to obtain time series data on subsidence in the study area. And considering environmental parameters such as groundwater level, temperature, precipitation, etc., a multi factor high-speed railway bridge pier settlement dataset was constructed. RMCMamba integrates RevIN and MARSHead, enhancing the model's ability to capture remote dependencies and solving the problem of time series data distribution drift. The paper has certain practical significance, but the key issues have not been clarified.

1. The monitoring of HSR-BP requires very high accuracy, and the InSAR method used in the paper has low precision and cannot meet practical needs. Moreover, the accuracy description in the paper is inconsistent (lines 147-148, and 537) and has not been verified with actual measurement data.
2. The paper predicts the deformation of HSR-BP based on InSAR monitoring results, but does not prove the relationship between InSAR monitoring results and HSR-BP. Due to the fact that InSAR results represent surface deformation, it may not necessarily be consistent with HSR-BP deformation, which requires special consideration.

other suggestions,
1. Suggest simplifying the methodology section.

2. Suggest indicating the location of the high-speed railway line in Figure 4.
3. Suggest indicating the location of deformation prediction in Figures 5 and 7.
4. Suggest rewriting the conclusion section.

Author Response

Please see the attachment for responses to related questions.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

see attached

Comments for author File: Comments.pdf

Author Response

Please see the attachment for responses to related questions.

Author Response File: Author Response.pdf