Aircraft Target Detection from Remote Sensing Images under Complex Meteorological Conditions
Round 1
Reviewer 1 Report
Based on the YOLOX algorithm, this paper enhances model efficiency by implementing depth separable convolution to reduce parameters, improves feature extraction speed and detection efficiency. Additionally, it introduces diverse cavity convolution in the backbone network to expand the perceptual field and enhance the model's detection accuracy. The structure of the text could be improved and a spelling check is needed. Figures 4 and 5 contain Chinese words that have not been translated into English. The conclusion can be more robust and detail the findings in greater detail. References can be improved with more articles in journals and more recent.
The structure of the text could be improved and a spelling check is needed
Author Response
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Author Response.pdf
Reviewer 2 Report
Manuscript ID: sustainability-2437493
Type: Article
Title: Aircraft target detection from remote sensing images under complex meteorological conditions
Authors: Dan Zhong * , Tiehu Li , Pan Zhang , Jinxiang Guo
Section: Sustainable Transportation
Special Issue: Smart Transportation and Intelligent and Connected Driving
In this study, YOLOX-DD algorithm is proposed based on YOLOX algorithm and this algorithm is compared with other algorithms. This proposed algorithm reliably detects aircraft with highdetection accuracy under complex meteorological conditions. While the subject is interesting, themanuscript has some shortcomings and authors should consider the comments suggested below.
1. What is the main question addressed by the research? Please explain how this study fill out specific gap in the field?
2. Highlight the innovative aspect of this study by comparing it with current literature in the introduction.
3. Give an organization of the paper in the last paragraph of the introduction.
4. Please delate Chinese letter characters in Figure 4.
5. Explain why did you choose that training values such as the training batch size is 8, momentum is 0.9 etc. what will happen if you select 0.7 as momentum. They are optimum values?
6. Throughout the text, there are some typos that must be eliminated.
7. The conclusion part seems to be more like an experimental report rather than a scientific paper. I strongly suggest for authors present their conclusions more concisely, avoiding repetition of the obvious and simple results.
The english of the article should be reviwed by a native speaker.
Author Response
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Author Response File: Author Response.pdf
Reviewer 3 Report
The topic of research is important and can be applied in the field of improving transportation, including aircraft. Recent references should be added, with my understanding that the resources and references available on the Internet in this field are relatively few. Pytorch deep learning was used as a framework, and this is a strong point because it is considered to be Pythonic in nature, has a strong community, is easy to debug, and more. All other notes have been added directly to the manuscript.
Comments for author File: Comments.pdf
The quality of the English language in the research is very good, and the language used is easy to understand, which helped the researchers communicate the idea easily.
Author Response
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Reviewer 4 Report
1) The language standard can be enhanced
2) What is the main novelty of the study?
3) What is the significance of YOLOX-DD for the proposed objective? more recent references in the tracking, target detection and locking and control approached may be provided. The following may be suited. Tracking and locking system for shooter with sensory noise cancellation; Design of Real-Time Extremum-Seeking Controller-Based Modelling for Optimizing MRR in Low Power EDM
4) Section 3.4 may be reframed?
5) Have you quantified the accuracy of the proposed methodology? What may be expected estimation error?
6) The conclusion section may be framed the main finding results as bullet points?
The language may be enhanced further
Author Response
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Author Response File: Author Response.pdf
Reviewer 5 Report
Please note I have made my comments to the journal editors.
Please note I have made my comments to the journal editors.
Author Response
请参阅附件
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
The authors responded to suggestions and recommendations by improving the article.
Reviewer 2 Report
It looks better than old version. Thanks for considering the sugestions.
