Next Article in Journal
Remote Sensing Image of The Landsat 8–9 Compressive Sensing via Non-Local Low-Rank Regularization with the Laplace Function
Previous Article in Journal
Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Entropy
Volume 25
Issue 3
10.3390/e25030522
Review Report
entropy-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Article
Peer-Review Record

Prediction of the Number of Cumulative Pulses Based on the Photon Statistical Entropy Evaluation in Photon-Counting LiDAR

Entropy 2023, 25(3), 522; https://doi.org/10.3390/e25030522
by Mingwei Huang, Zijing Zhang *, Longzhu Cen, Jiahuan Li, Jiaheng Xie and Yuan Zhao *
Reviewer 1:
Faquan Li
Reviewer 2:
Robert Mingesz
Entropy 2023, 25(3), 522; https://doi.org/10.3390/e25030522
Submission received: 1 February 2023 / Revised: 28 February 2023 / Accepted: 6 March 2023 / Published: 17 March 2023
(This article belongs to the Topic Applications of Photonics, Laser, Plasma and Radiation Physics)

Round 1

Reviewer 1 Report

It is an eternal theme that improving the detection precision and accuracy with limited echo photons for lidar. This manuscript proposed a signal quality evaluation method based on photon statistical entropy (PSE) for photon counting lidar.

Two minor suggestions:

(1) Please introduce the concept photon statistical entropy in the introduction and some reference on the photon statistical entropy. And how do you connect the photon counting lidar and the photon statistical entropy theory?

(2) In page 2, formula (1), the lidar echo is assumed as a gaussian function. However, the actual optical flux at time is not perfect gaussian, even the laser pulse is gaussian. Especially for the detection with a resolution of centimeter, the “roughness” will play important role in the echo function in time. What is the influence of the imperfect of the optical flux in the signal quality evaluation methodology based PSE for photon counting lidar?

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The authors present a new method (photon statistical entropy, PSE) to evaluate the signal quality of photon counting lidar. The new method is stated to outperform the SNR method introduced in 2000 in several aspects like describing the influence of the background noise. The research is well-conducted and article is well written, I only have a few questions:

 

A) Page 2. line 77: while the reference [24] may be easily reachable, in my opinion it would be interesting to include a short description of N_s.

B) I do not understand why a different range error definition is used (Eq. (12)) and not the standard deviation.

C) Figure 6. Distribution shown on (c) and (f) resembles to Gaussian distribution. Can this be used to quickly evaluate if in a real-world measurement we reached the correct number of pulses?

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

  • No more comments. I agreed to publish.

Reviewer 2 Report

The authors answered my questions, I have no further remarks.

Back to TopTop