A Military Object Detection Model of UAV Reconnaissance Image and Feature Visualization
Round 1
Reviewer 1 Report
This paper presents a object detection method for UAV images. Some concerns are shown as below.
- It is better to refine the improvement of YOLOv5 claimed in the introduction to 2-3 points.
- Please briefly indicate the improvement in the method section, which should correspond to those claimed in the introduction.
- A flowchart of the proposed method is needed, rather than just YOLOv5.
- In the method comparison, please add YOLOv1 and v2 if possible.
- Some grammatical errors.
Author Response
Dear Reviewer,
Thank you very much again for your time and effort of handling the manuscript
applsci-2006717, titled “A Military Object Detection Model of UAV Reconnaissance Image and Feature Visualization”. We gratefully thank you for providing us helpful and constructive suggestions to improve the quality of the paper.
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
This paper presents a method for object detection from UAV images under challenging scenario such as occlusion, poor resolution, and small objects, etc. I have the following observations.
1. UAV images need to be pre-processing for getting output to a significant level. Several pre-processing steps such as thos egiven in "Fusion and Enhancement Techniques for Processing of Multispectral Images" may be used to see if the performance of the method improves.
2. YOLOv5 model has been used for objet detection. There are various parameters taht need to be tuned optimally. The authors should use evolutionary optimization methods.
3. Limited number of performance metrics have been used to validate the performance of the method. The metrics such as ROC-AUC, F1-score and others may be used to validate the method.
4. The data ugmentation using GANs might solve the problem of motion blur.
5. The discussion part of the paper should be revised incorporating the chalalgnes faced in data pre-processing.
Author Response
Dear Reviewer,
Thank you very much again for your time and effort of handling the manuscript
applsci-2006717, titled “A Military Object Detection Model of UAV Reconnaissance Image and Feature Visualization”. We gratefully thank you for providing us helpful and constructive suggestions to improve the quality of the paper.
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
No further question.
Reviewer 2 Report
The required changes have been made.
