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Photonics
Volume 12
Issue 1
10.3390/photonics12010013
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Article
Peer-Review Record

An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones

Photonics 2025, 12(1), 13; https://doi.org/10.3390/photonics12010013
by Cheng Wu 1,2, Lei Ding 3, Lin Cong 1 and Shaoning Li 2,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Zhongliang Qiao
Photonics 2025, 12(1), 13; https://doi.org/10.3390/photonics12010013
Submission received: 18 November 2024 / Revised: 12 December 2024 / Accepted: 25 December 2024 / Published: 27 December 2024
(This article belongs to the Special Issue Laser as a Detection: From Spectral Imaging to LiDAR for Remote Sensing Applications)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

In the article, an adaptive photon denoising method is proposed to solve the denoising difficulties of ICESat-2 satellite photon point cloud data in the complex intertidal environment. The article compares the denoising effect with other three methods and proves that the method has better denoising performance. However, the English level of the article is not up to the level of English academic papers, and some parts are too colloquial. There are also some formatting errors, and lines 44 and 50 incorrectly use periods. It is suggested that the authors carefully revise the English expression and check the formatting errors throughout the article.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

See the attachment.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The manuscript is primarily based on algorithms for processing the collected data.The research is interesting and significant.However, there are the following issues that need to be improved:

1.Most of Figures are not clear and the resolution is insufficient,the contrast needs to be increased，and the text annotation part is very unclear in the figures.

2.The data contains underwater cloud point information, which is very difficult to detect, how to ensure the detection accuracy?

3.What are the outstanding advantages of the algorithm mentioned in this article compared with other algorithms?

4.In the Introduction ,it is recommended to add a comparison of different commonly used algorithms.

5.The abstract is duplicated with the conclusion.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

Comments and Suggestions for Authors

N/A

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