Review Reports

Round 1

Reviewer 1 Report

1-The segmentation is the main part of the paper but the following paper do it better than you for a wide range of trees type:

Chen, X.; Jiang, K.; Zhu, Y.; Wang, X.; Yun, T. Individual Tree Crown Segmentation Directly from UAV-Borne LiDAR Data Using the PointNet of Deep Learning. Forests 2021, 12, 131. https://doi.org/10.3390/f12020131

2- In the lines 314 to 318 the parameters are used in running the proposed method are presented, but there is no reason why these parameters are set to that amount?

3- As the results show the proposed method has about 10% better than other methods, there is no comparison with the time process consuming for reaching this advantage over other methods.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The author introduced a top-down segmentation strategy to propose an adaptive segmentation method based on extreme offset deep learning. Based on my review, I suggest some comments to revise the paper. 

1. I suggest author to discuss the organization of sections at end of the introduction section. 

2. Improve the quality of Figure 1

3. I suggest to include future directions of the work in conclusion section.

 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

thank you very much for your valuable answers to the comments.