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Peer-Review Record

Automated Extraction of Ground Fissures Due to Coal Mining Subsidence Based on UAV Photogrammetry

Remote Sens. 2022, 14(5), 1071; https://doi.org/10.3390/rs14051071
by Kun Yang 1, Zhenqi Hu 1,2,*, Yusheng Liang 1, Yaokun Fu 1, Dongzhu Yuan 1, Jiaxin Guo 1, Gensheng Li 3 and Yong Li 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2022, 14(5), 1071; https://doi.org/10.3390/rs14051071
Submission received: 14 January 2022 / Revised: 12 February 2022 / Accepted: 16 February 2022 / Published: 22 February 2022

Round 1

Reviewer 1 Report

Please see the attached file.

Comments for author File: Comments.pdf

Author Response

Dear reviewer,

Thank you so much for your comments regarding our manuscript entitled “Automated extraction of ground fissure due to coal mining subsidence based on UAV photogrammetry” by Kun Yang et al. submitted to Remote Sensing. We have revised the manuscript according to your comments. The detailed response is in the attached document. 

Author Response File: Author Response.pdf

Reviewer 2 Report

Accept after minor English changes

Author Response

Dear reviewer,

Thank you so much for your comments regarding our manuscript entitled “Automated extraction of ground fissure due to coal mining subsidence based on UAV photogrammetry” by Kun Yang et al. submitted to Remote Sensing. We have revised the manuscript according to your comments.

Reviewer 3 Report

The authors' research is very interesting. The way they chose to approach this subject is good.

In the Methods chapter, the authors mention the research and results of other researchers, and then describe the processing workflow developed by them, in subchapters 4.1, 4.2, 4.3. Next, in subchapter 4.4, the authors try to present a validation of the workflow.

The processing workflow developed by the authors achieves a result comparable to that of other authors, as can be read in the Discussions chapter.

The authors provide details about data collection, which helps to understand the author's concerns in this research.

To improve the work, I recommend a few things:

The authors should include clarifications to show the extent to which their research on the challenges of automatic crack detection is ongoing. The authors mention these challenges at the beginning of Chapter 4.

Authors should include a comparison with other similar research to show why their proposal would be more appropriate or better, and possibly in what situations. This argument would make the last sentence of Chapter 7 a certainty.

Author Response

Dear reviewer,

Thank you so much for your comments regarding our manuscript entitled “Automated extraction of ground fissure due to coal mining subsidence based on UAV photogrammetry” by Kun Yang et al. submitted to Remote Sensing. We have revised the manuscript according to your comments. The detailed response is in the attached document.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

I still would like to see more edge detection and region growing approach comparison, but it could be added in the future studies.

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