A Robust Dual-Platform GMTI Method against Nonuniform Clutter
Round 1
Reviewer 1 Report
The paper presents the Dual-platform GMTI method, however, it is extremely difficult to follow. Here are some of my comments to work on
1. THe attract needs to clearly explain the proposed method in one linear and then mention the significant improvement made by that.
2. At the end of the introductions, novel contributions can be specifically added
3. Figure 5 needs to be improved. It is very hard to know what is the main message of this figure
4. Section 2, that is providing the background theory is too elaborated and can be focused on the main points and the part that is relevant to the proposed method.
5. Figure 10 and 4 seems very similar. What is the main message, in this case, is not clear
6. Detection flow chat is not clear. It needs to be improved further
7. What is the significant of the experimental results is still not clearly established, neither strongly benchmarked with other state of the art methods.
Author Response
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Author Response File: 
Author Response.pdf
Reviewer 2 Report
The article needs to be revised. First of all, all the parameters belonging to the mathematical formulae need to be better defined. Constants must be distinguished by non-bold lower-case symbols, vectors by bold lower-case letters and matrices by bold upper-case letters and tensors by marked upper-case letters.
I recommend adding a section notation. also enter the domain of existence of the parameters.
Punctuation between formulae is absent.
Line 104, needs a space.
Figure 1 the reference system is not clear. Explain better into the paper context.
Figure 10 (a), and (b), are confusing, explain better.
Figure 12 (a), and (b), are not clear, explain better.
Besides the Capon Spectrum, can you introduce the results of other inversion methods?
Author Response
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Author Response File: Author Response.pdf
Reviewer 3 Report
In this paper, for such complex environments as the strong interference、alternating hot and cold clutter, and uneven power, the authors proposed a novel approach for accurately estimating the clutter covariance matrix based on using repeated track SAR images as the prior knowledge.
Detailed comments are:
Q1: In figure 7, Does the selection of parameters such as time interval and image size have an impact on the construction of the clutter covariance matrix and the performance of the algorithm when operating image error correction?
Q2: In Figure 7, please elaborate on the process of getting the clutter background echo data after registering the clutter background image.
Q3: In Figure 14, please explain how to calculate the minimum detectable velocity (MDV) based on SCNR loss.
Q4: In chapter 4, how are the forward track image and the backward track image acquired in the simulation? Does the difference depend only on the presence or absence of a moving target?
Q5: Compare the computational workload of the image error correction and image registration steps of the proposed dual-platform GMTI method with that of the traditional STAP approach? Is the algorithm achievable in real time?
Author Response
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Author Response File: Author Response.pdf
Reviewer 4 Report
Comments for author File: Comments.pdf
Author Response
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Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
The authors have addressed the comments sufficiently and improved the quality of the manuscript significantly.
Reviewer 2 Report
Accepted
Reviewer 3 Report
It should be noted that, after the revision, the paper has explained in detail the problems posed for the first time, and has made corresponding additions and changes to the algorithm flow and schematic.
However, the engineering application of the paper is weak, the selection of parameters such as the time interval between two images, and the image size can affect the performance of the algorithm, and the experimental data lacks support from real scenarios, but it is also mentioned in the paper that the experimental data acquired with the German TerraSAR-X/ TanDEM-X radar satellite formation to further verify the proposed method. In terms of content, the work is clear, innovative, well-written and extensible. Based on the above, the manuscript is recommended for publication in the MDPI Journal of Remote Sensing.
Reviewer 4 Report
Please see the attached PDF file.
Comments for author File: Comments.pdf
