Next Article in Journal
A Novel Ionospheric Disturbance Index to Evaluate the Global Effect on BeiDou Navigation Satellite System Signal Caused by the Moderate Geomagnetic Storm on May 12, 2021
Next Article in Special Issue
Altering Fish Behavior by Sensing Swarm Patterns of Fish in an Artificial Aquatic Environment Using an Interactive Robotic Fish
Previous Article in Journal
A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification
Previous Article in Special Issue
Light Penetrating the Seawater Column as the Indicator of Oil Suspension—Monte Carlo Modelling for the Case of the Southern Baltic Sea
 
 
Technical Note
Peer-Review Record

Research on Bathymetric Inversion Capability of Different Multispectral Remote Sensing Images in Seaports

Sensors 2023, 23(3), 1178; https://doi.org/10.3390/s23031178
by Wei Shen 1,2, Jiaqi Wang 1,2, Muyin Chen 1,2, Lihua Hao 1,2 and Zhongqiang Wu 3,*
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3:
Reviewer 4: Anonymous
Sensors 2023, 23(3), 1178; https://doi.org/10.3390/s23031178
Submission received: 6 December 2022 / Revised: 16 January 2023 / Accepted: 18 January 2023 / Published: 19 January 2023
(This article belongs to the Special Issue Marine Environmental Perception and Underwater Detection)

Round 1

Reviewer 1 Report

Should be add the route of research technology.

Explanation the applicability and superiority of remote sensing imagery.

Whether to consider other imaging factors for the port pool depth of the remote sensing image process.

Expansion the  conclusions and  discussion.

Condense the innovation of the thesis

Author Response

Please see the file attached.

Author Response File: Author Response.pdf

Reviewer 2 Report

In this paper, several different types of multi-spectral images are used for water depth inversion. The experimental results show that the inversion effect is good in the shallow water area, but it is not obvious in the place where the water ratio is too deep. In general, it is still effective to use multi spectral images to detect water depth, which can provide some reference for some practical applications.

However, this paper mainly describes the basic implementation of the method, and there is not much discussion about the theoretical basis behind the method. In order to provide more powerful theoretical support for the efficient application of practical projects, I wonder if you can strengthen it? 

Author Response

Please see the file attached.

Author Response File: Author Response.pdf

Reviewer 3 Report

Review report for paper

technical note entitled “Research on Bathymetric Inversion Capability of Different Multispectral Remote Sensing Images in Seaports ‘’

General remarks:

·      Extensive editing of English language required

·      The references cited in the introduction section are relevant but should be updated

·      Quality of all figures should be improved (600dpi is proposed)

Specific remarks

 

·      The chart of methodology section should be explained and some important details are missing such as validation and accuracy evaluation.

·      The choice of the dates of image acquisition June, January and December should be explained in the text.

·      The image correction part (radiometric, atmospheric and geometric) should be more explained and illustrated by figures.

·      In the presentation of the study area, climatic data and description should be added because this can have a high influence on the water depth.

·      Figure 1 and Figure 7: maps are missing the North arrow, the scale, the legend and coordinates

·      Figures 5 and 6 are not clear

Author Response

Please see the file attached.

Author Response File: Author Response.pdf

Reviewer 4 Report

Please see the file attached.

Comments for author File: Comments.pdf

Author Response

Please see the file attached.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

I would like to thank the authors for the correction except for a few remarks: - the text in Figures 6 and 7 is unreadable, increase the size and the resolution of figures

Author Response

Dear Professor:

Thank you very much for taking the time to review my manuscript again.

The picture has been modified or enlarged, thanks for the correction




Reviewer 4 Report

The authors have addressed all my comments. 

Author Response

Dear Professor:

Thank you very much for taking the time to review my manuscript again.

Thank you for your help. I'm very grateful.

Back to TopTop