Moon invoice help5/25/2023 This paper proposes a new operational processing framework for the LEO-SAR constellations system, aiming at the HRWS imaging mode. We thank this reviewer for the report and for getting straight into the indended paper aims. It is a valuable contribution to the scientific discussion on the area of SAR. Thus, I can recommend without any reservations the publication of your paper as is. Number and choice of cited references are adequate and indicate your very good overview on basic works as well as on most recent papers in the research area of SAR focusing. Language and style in your paper are clear and concise. The drawn conclusions are supported by the research results. Elaborately designed simulations prove the quality parameters for the obtainable SAR images and the simulation results are thoroughly discussed. The way of thoughts in the design and in the presentation of the algorithm is straight forward and scientifically sound. The presented focusing approach combines several modern techniques in a reasoned way to a novel overall system. The design of the SAR satellite formation in view is considerable. In this way, they obtain sub-images with significantly less geometric distortions to be used as input for the coherent superposition. In the process, they apply Chirp Z Transform (CZT) and the powerful but up to now just rarely used technique of Numeric SAR (NuSAR). ![]() In this way, they are able to focus the SAR raw data from each satellite in an optimum way, considering the individual acquisition geometries of each sensor. The authors interchange the order of coherent superposition and SAR focusing and apply the focusing first. The authors present a novel approach superior to former methods discussed for similar satellite formations in literature. A considerable technique to solve these demands is topic of the paper in review. The aim is to coherently superpose the SAR data, received by the particular satellites, in order to obtain a single SAR image with drastically better resolution than it was available from the SAR data of the individual satellites. High-quality SAR focusing for such a formation is a demanding issue. The authors of the paper on hand are engaged in the design of a close formation of Synthetic Aperture Radar (SAR) satellites where one satellite is transmitting and several satellites in close along-track distance are receiving. Small Low Earth Orbiting (LEO) satellites gain more and more importance in spaceborne remote sensing. It is amazing to see the scientific sound way you combine modern techniques like NuSAR and CZT in your overall system. It is a reasoned way-out to overcome geometrical distortions which are unavoidable in the traditional approach. ![]() The reversed order to apply focusing first and coherent superposition last sounds logical to me. Here, your presented approach is a considerable technique. However, high-quality SAR focusing for such a formation will be demanding. The purposed close formation of SAR satellites is an interesting mission design. Figure 12a: Range “” / Figure 9: Slant Range “”Īuthor Response File: Author Response.pdfĬongratulation on your elaborated research work presented in this paper. Figure 13 b: Please remake the figure without stretching and increase the font size ![]() Figures 12 and 13: Please use unified labeling, either (a) and (b), or a. Ln 36: This concept, introduced: please add first ![]() Ln 29: “will come soon” -> “are expected to follow after that.” Therefore, I recommend that authors compare their method with the state-of-the-art and emphasize the benefits and limits of using such an approach. However, the authors did not compare their method to the conventional one, which raises questions about its efficiency. The proposed method seems to be interesting. Unlike the conventional method, which is based on up-sampling and a reconstruction based on along-track FFT of the data, the paper suggests a new approach by upsampling and then focusing on each acquisition, then upscaling, allowing for distributed processing and local estimations of phases deviations and compensation. The authors aim in this paper to make a wavenumber domain processing scheme for Low Earth Orbiting SAR sensors hosted on small satellites, in which they attempt to generate high-resolution images by combining data acquired from each sensor.
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