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Article
Peer-Review Record

An ROI Optimization Method Based on Dynamic Estimation Adjustment Model

Remote Sens. 2023, 15(9), 2434; https://doi.org/10.3390/rs15092434
by Ziyue Li 1,2, Qinghua Zeng 1,*, Yuchao Liu 2 and Jianye Liu 1
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3:
Remote Sens. 2023, 15(9), 2434; https://doi.org/10.3390/rs15092434
Submission received: 16 February 2023 / Revised: 21 April 2023 / Accepted: 29 April 2023 / Published: 5 May 2023

Round 1

Reviewer 1 Report

1. The text in Figure 4 is vague and unclear.

 

2. The meaning of and× in Tabel2 should be explained in the paper.

 

3. In Section 4.2, why is there only a comparison of DEA, YOLOv4 and MSDA, and supplement the latest methods to illustrate the progressiveness of the proposed methods.

 

4. YOLOv4 is used in this paper. It is necessary to conduct further comparative tests with the latest YOLOv8 and other target detection models.

 

5. As an article, the length of the article is too small and needs to be further supplemented.

 

6. The discussion part is too simple and the content is not deep enough.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Please correct paper and send again to the reviewers

1. we don't use "we" so often in scientific publication.
Authors used we more than 1 hundred times in abovementioned publication.
It is better to write in  3rd person instead of use we.
2. not all abreviations were described by the authors.
3. 4.1 DEA model testing and result
No information -> where, when, how long, and what equipment was used for tests?
When I look etc. at Figure 5, I am not sure how long is experiment, because there is NO DESCRIPTION of axis.
Thus all the tests are badly described and you need to correct condected test description.
4. no units on horizontal axis in figure 5
5. please make a table with classification of all names of existing, modernized, and your own method and algorithms. I am confused because you described a lot of methods, and you didnt explained soe name abreviations of presented methods.
6. I strongly suggest to make short summarize in subchapter, what is new in your paper and what science/methods are existing.

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

I think the authors have done decent work in this paper. They proposed a new dynamic optimization model for ROI online based on GNSS measurement uncertainty estimation. By employing the GNSS measurement uncertainty parameters estimated by an approximate Gaussian estimation (AGE), they built a dynamic estimation adjustment (DEA) model for ROI optimization. The superiority of the proposed model is verified through simulation experiments, real vehicle road tests, as well as comparative analysis with the adaptively dynamic adjustment (ADA) model.

 

The descriptions of the objective, methodology, results, and analysis are clear with a summary of important innovations and contributions. In my opinion, this paper qualifies for publication in its present form. Hence, I recommend acceptance of the same.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Thank you for improving of your article, and for your paper corrections

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