Review Reports - Improved Ship Detection Algorithm from Satellite Images Using YOLOv7 and Graph Neural Network

Round 1

Reviewer 1 Report

Chapter (item) 2 is missing. The text directly continues from chapter 1 to 2.1, 2.2, etc.

Line 97 - also is empty.

Correction needed in main text: Table II to Table 2 - line 174

Tables 5 and 6 are missing from the main text.

I recommend making the conclusion bigger. It's too short.

Acknowledgment data is missing, it is desirable to add information. This will strengthen the research.

Author Response

Reviewer 1:

Sr. No	Comments	Response
1	Chapter (item) 2 is missing. The text directly continues from chapter 1 to 2.1, 2.2, etc.	We appreciate your suggestion and have revised the content of the manuscript according to your suggestion.
2	Line 97 - also is empty	Terribly sorry, this is our mistake, thank you very much for pointing out the mistake for us, we appreciate your suggestion. We have deleted line.
3	Correction needed in main text: Table II to Table 2 - line 174	We appreciate your suggestion and have revised the content of the manuscript according to your suggestion!
4	Tables 5 and 6 are missing from the main text	Table 5 was there at line no 222 and table 6 added at line no 232.
5	I recommend making the conclusion bigger. It's too short	We appreciate your suggestion and have revised the content of the manuscript according to your suggestion!
6	Acknowledgment data is missing; it is desirable to add information. This will strengthen the research.	We appreciate your suggestion and have added the acknowledgement of the manuscript according to your suggestion!

Author Response File: Author Response.docx

Reviewer 2 Report

Please add a reference to a particular HRSID dataset as suggested by the author

Please correct the misprints in the manuscript. For example, in line 76, "The organization of paper isd as follows".

Please correct the misprints in the manuscript. For example, in line 208.

What is the percentage of data used for train and testing? please explained about yielding.

More descriptions should be added to the proposed approach.

Please explain "Dataset preprocessing" in figure 5, in more detail.

Explain the computation time comparison of the proposed model with other models.

Author Response

Reviewer 2:

Sr. No	Comments	Response
1	Please add a reference to a particular HRSID dataset as suggested by the author	We appreciate your suggestion and have revised the content by adding reference in the manuscript according to your suggestion.
2	Please correct the misprints in the manuscript. For example, in line 76, "The organization of paper isd as follows	Terribly sorry, this is our mistake, thank you very much for pointing out the mistake for us, we appreciate your suggestion very much. We have corrected the word.
3	Please correct the misprints in the manuscript. For example, in line 208	We appreciate your suggestion and have revised the content of the manuscript according to your suggestion!
4	What is the percentage of data used for train and testing? please explained about yielding	We appreciate your suggestion and have revised the content of the manuscript according to your suggestion!
5	More descriptions should be added to the proposed approach	We have added the necessary description.
6	Please explain "Dataset preprocessing" in figure 5, in more detail	We appreciate your suggestion and have revised the content of the manuscript according to your suggestion from line number 166 to 170
7	Explain the computation time comparison of the proposed model with other models.	We have cited the reference in which the comparison with other model has shown. Reference no [18]

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

The conclusion should be extended further.

Figure 6 to be refined in a better form.

The resolution of the figures to be improved with "sharpening" and "contrast" for better reading by readers.

Author Response

Dear Reviewer,

thank you for your comments. Please find below the responses.

Sr. No	Comments	Response
1	The conclusion should be extended further.	We have added the details about optimizer and portioning of the dataset. Moreover, added future work is also added.
2	Figure 6 to be refined in a better form.	We have added a new figure 6.
3	The resolution of the figures to be improved with "sharpening" and "contrast" for better reading by readers.	We have tried to sharpen the figures.

Reviewer 2 Report

Please explain about purpose of the GNN feature extractor in Figure 5.
"In the Dataset preprocessing step," here, "D" should be a small case.
Explain the computation time comparison of the proposed model (YOLOv7_GNN) with other models. Computation time means comparing the proposed model training time with different approaches in ship detection with SAR images.

Author Response

Dear Reviewer

Please find attached the responses to your comments.

Sr. No	Comments	Response
1	Please explain about purpose of the GNN feature extractor in Figure 5. – Refer the recent document in folder about GNN	We have added the details about GNN feature extractor.
2	"In the Dataset preprocessing step," here, "D" should be a small case	We have updated Dataset with dataset.
3	Explain the computation time comparison of the proposed model (YOLOv7_GNN) with other models. Computation time means comparing the proposed model training time with different approaches in ship detection with SAR images.	The computation time comparison is already provided in the Reference 21 that is why, we have not written in the paper again.

Round 3

Reviewer 1 Report

Dear Authors, Thanks for the extended information. In my personal opinion, it would be good to add more advanced details on certain points. Anyway, you tried your best, so I take your position positively.

Reviewer 2 Report

Accept the present form of the manuscript.