Fast Implementation of Insect Multi-Target Detection Based on Multimodal Optimization

Round 1

Reviewer 1 Report

The article presents enough novelty, it is properly structured and the balance between theory and experiments is correct.

It would be convenient an overall revision of the equations, for example p(tau) is missing in (1).

Moreover, It would be convenient to present the analysis in such a way that it can be easily followed by the reader not specialized in radar equations. This would broaden the interest of the manuscript for the general reader.

Author Response

Thanks for the reviewer’s time and effort in evaluating my paper. Detailed reply please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Suggest editing by English-as-a-first-language editor. Mis-spelled:

manoeuvring, many places

remaining page 3

behaviours, many places

neighbourhood, many places

centre, many places

analysed, many places

Page 9 "Especially" without a run on. Section D then follows.

range-walk probably should be range-drift, page 1

page 3 bottom probably should read "lead to weak manoeuvring targets in radar detection being missed"

Page 6 "easier get trapped" needs to be re-worded

page 12 "does not exit smooth" needs rewording

 

 

Author Response

Thanks for the reviewer’s time and effort in evaluating my paper. We appreciate your suggestions and valuable comments very much. They are very helpful for improving my paper. We have carefully revised this paper according to your comments.

Please see the attachment for detailed reply.

Author Response File: Author Response.docx

Reviewer 3 Report

Particle swarm optimization (PSO) is applied to tune the parameters to achieve GRFT detection for fast target tracking. The presentation is clear with fine simulations. I recommend the acceptance of this paper after minor revision.

1. Since the fast detection is due to the application of PSO, it is better to introduce some evolutionary coputation methods so as to broaden the scope of this paper such as the Differential Evolution (DE), QUasi-Affine TRansformation Evolutionary (QUATRE) and Cat Swarm Optimization (CSO).
2. Fig. 13 and Fig. 12 are fuzzy, the authors may enlarge those figures.
3. The authors may describe how to descide Boundary Constraint values such as by checking the experimental results.

Author Response

Thanks for the reviewer’s time and effort in evaluating my paper. We appreciate your suggestions and valuable comments very much. They are very helpful for improving my paper. We have carefully revised this paper according to your comments.

Please see the attachment for detailed reply.

Author Response File: Author Response.docx