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Article
Peer-Review Record

Defogging Learning Based on an Improved DeepLabV3+ Model for Accurate Foggy Forest Fire Segmentation

Forests 2023, 14(9), 1859; https://doi.org/10.3390/f14091859
by Tao Liu 1, Wenjing Chen 1, Xufeng Lin 1, Yunjie Mu 1, Jiating Huang 1, Demin Gao 1 and Jiang Xu 2,*
Reviewer 1:
Reviewer 2: Anonymous
Forests 2023, 14(9), 1859; https://doi.org/10.3390/f14091859
Submission received: 28 June 2023 / Revised: 3 August 2023 / Accepted: 8 September 2023 / Published: 13 September 2023

Round 1

Reviewer 1 Report

My review comments are attached.

Comments for author File: Comments.pdf

Editing of the English language is required

 

Author Response

Please see the attachment.

Author Response File: Author Response.doc

Reviewer 2 Report

Dear Authors,

Deep learning technology managed to develop strategies for detecting forest fires. Nonetheless, accurately detecting and segmenting forest fires under different conditions is challenging, particularly in foggy environments. This manuscript proposed a collaborative defogging learning framework according to the improved DeepLabV3+ simulation. The manuscript analyzed a novel matter in the field of fire that can be helpful for researchers. However, the authors should consider some minor revisions before publications.

-Abstract should be useful and brief. It is recommended to rewrite the abstract. It should show the overview of the manuscript. Do not use active sentences.

-In the section of 2.1.1, it is recommended to use further data source to obtain more accurate outcomes.

-There are some English language errors that should be addressed.

-Recheck equation (5). Possibly there is a missing parameter.

-Conclusion should show the main achievements of the manuscript. It is recommended to use bullet points to show them.

Regards

There are some English language errors that should be addressed.

Author Response

Please see the attachment.

Author Response File: Author Response.doc

Round 2

Reviewer 1 Report

Dear Authors,

-Figures 12 and 17 are not readable.

-Figures 3 to 8, too many descriptive flowcharts. make one or two telling the main point

-For Figures 10, 11, 16, and 18, you need to write a note on each image and tell the main outcome of it

-For visualization figure, it should come with a plot

-57 references will reduce the novelty of the work. 

it needs moderate check

Author Response

Please see the attachment.

Author Response File: Author Response.doc

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