A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment

Round 1

Reviewer 1 Report

Please refer to comments in the attached PDF file.

Comments for author File: Comments.pdf

Author Response

Please see the attachment for details.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments for author File: Comments.pdf

Author Response

Dear Reviewer,

We deeply appreciate the effort and time that you have spent in reviewing our manuscript “A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment” (ID: applsci-2071665). We have studied the comments carefully and have made revisions which we hope meet with your approval.Please see the attachment for details.

Author Response File: Author Response.pdf

Reviewer 3 Report

This paper proposed “A SqueeSAR Spatially Adaptive Filtering Algorithm Based on 2 Hadoop Distributed Cluster Environment”. The approach discussed in this manuscript is interesting. To enhance the quality of the research, I recommend following corrections.

1-     The introduction section needs more investigation of some recent and relevant work that has been done in the past.

2-     Figure 4, revise again.

3-     Improve the visibility of figure 13 and figure 14.

4-     Add more detail about figures 3, 5, 6,7, and 9 that are self-explanatory for the reader.

5-     Add more detail about compassion in the experiments section.

6-     Explain your proposed and based algorithm separately with example that is easily understand for reader. Write a pseudocode of your proposed method and based method and clearly define your contribution, that will show your work credibility.

7-     In the manuscript there are full of grammatical errors and typos. Carefully revised all manuscripts and corrected them.

Author Response

Dear Reviewer,

We deeply appreciate the effort and time that you have spent in reviewing our manuscript “A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment” (ID: applsci-2071665). We have studied the comments carefully and have made revisions which we hope meet with your approval.

Please see the attachment for details.

Author Response File: Author Response.pdf

Reviewer 4 Report

Please see the attached pdf file. 

Comments for author File: Comments.pdf

Author Response

Dear Reviewer,

We deeply appreciate the effort and time that you have spent in reviewing our manuscript “A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment” (ID: applsci-2071665). We have studied the comments carefully and have made revisions which we hope meet with your approval.

Please see the attachment for details.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

I would like to thank to the authors for taking into consideration all comments. They have accomplished a huge improvement on the quality of its work. I consider that the paper should accepted in the present form. 

Author Response

Dear Reviewer,

We appreciate your effort in reviewing our manuscript "A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment" (ID: applsci-2071665) and time. Thank you for your valuable comments on our manuscript.

Reviewer 2 Report

Accept after minor revision (corrections to minor methodological errors and text editing)

Author Response

Dear Reviewer,

We appreciate your effort in reviewing our manuscript "A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment" (ID: applsci-2071665) and time. We have made minor syntactic adjustments to the manuscript again based on your comments. Thank you for your valuable comments on our manuscript.

Reviewer 3 Report

 

Add little detail about figures 3, 5, 6,7, and 9 (Figure Caption)  that are self-explanatory for the reader. 

Author Response

Dear Reviewer,

We appreciate your effort in reviewing our manuscript "A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment" (ID: applsci-2071665) and time. Thank you for your valuable comments on our manuscript.

Author Response File: Author Response.pdf

Reviewer 4 Report

Please see the attached PDF file.

Comments for author File: Comments.pdf

Author Response

亲爱的审稿人，

感谢您花时间审阅我们的手稿“一种基于 Hadoop 分布式集群环境的 SqueeSAR 空间自适应过滤算法”（ ID：applsci-2071665）。感谢您对我们的手稿提出宝贵意见。