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Article
Peer-Review Record

Trunk-Constrained and Tree Structure Analysis Method for Individual Tree Extraction from Scanned Outdoor Scenes

Remote Sens. 2023, 15(6), 1567; https://doi.org/10.3390/rs15061567
by Xiaojuan Ning 1,2, Yishu Ma 1, Yuanyuan Hou 1, Zhiyong Lv 1,2, Haiyan Jin 1,2, Zengbo Wang 3,* and Yinghui Wang 4
Reviewer 1:
Reviewer 2: Anonymous
Remote Sens. 2023, 15(6), 1567; https://doi.org/10.3390/rs15061567
Submission received: 10 February 2023 / Revised: 7 March 2023 / Accepted: 7 March 2023 / Published: 13 March 2023

Round 1

Reviewer 1 Report (Previous Reviewer 1)

no other issues

Author Response

Thank you very much for your recognition of our work, and thank you again for your time to review our manuscript.

Reviewer 2 Report (New Reviewer)

The paper “Trunk Constrained and Tree Structure Analysis Method for Individual Trees Extraction from Scanned Outdoor Scene” deals with an important issue in order to filter point clouds and segment them.

 Only I suggest a modification.  Figure 5, same text is hidden by drawings. Please move it.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.


Round 1

Reviewer 1 Report

This paper presented an automatic individual tree extraction method based on the local trunk and structure analysis, which could provide more robust experimental results. The proposed tree extraction method is very interesting; however, there are still some concerns and issues that should be addressed in the next revision.

 

1、 In abstractyou should describe more clearly how to extract individual trees in the last step. I think it is not clear enough.

2、 What does Relative distance mean in your method, please clarify it. 

3、 We mentioned that you refer to PointNet, so most of the input tree PCD in your paper is processed? Or you can provide some data before and after using PointNet.

4、There are still some typos and grammar errors, and the also some Chinglish should be improved, such as: “The specific experimental results”, “Comparison of visual results”

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper is very interesting and the procedures well described. There is only one problem. In the first raw fo your paper you cite the TLS. Please insert some references on the  " Pairs-Lille-3D" dataset. Not all the reader may be aware about tihis dataset

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

The study proposed a new method based on trunk constraints and structure to extract individual tress. The manuscript is well written in terms of English language, the structure is logical and easy to follow. Only 2 comments:

1.      What is the research problem (difficulties) in separating PCD of overlapping trees? A clear problem makes your method more convincible.

 

2.      The proposed method is composed of several maturely developed models, then how the integration contributes to your novelty? The significance of the proposed method needs substantial explanation. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 4 Report

The research is very useful and can be applied well in the forest but also in the urban environment. The article is written comprehensibly and clearly. I have only 2 recommedation:

1. Add some information about Paris-Lille 3D dataset (row 26)

2. rows 118-121 - I think it is usefull to describe what is in individual sections

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 5 Report

see appendix

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 5 Report

All comments have done

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