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Article
Peer-Review Record

Efficacy of Segmentation for Hyperspectral Target Detection

Sensors 2025, 25(1), 272; https://doi.org/10.3390/s25010272
by Yoram Furth * and Stanley R. Rotman
Reviewer 1: Anonymous
Reviewer 2:
Sensors 2025, 25(1), 272; https://doi.org/10.3390/s25010272
Submission received: 4 December 2024 / Revised: 1 January 2025 / Accepted: 2 January 2025 / Published: 6 January 2025
(This article belongs to the Special Issue Vision Sensors for Object Detection and Tracking)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

I would like to thank the authors for their efforts in producing this work. The paper reads well and brings something new to the field of research. However, i have some questions: 

What previous studies have reported successful or unsuccessful segmentation results?

Are the resulting practical guidelines applicable to a variety of data sets, or are they limited to specific conditions?

The simulations based on synthetic are synthetic data, how are they generated, and do they faithfully reflect real-world scenarios?

How is the “representative algorithm” selected, and does it generalize well to other detection algorithms?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

1. The research motivation and main contributions should be included in the introduction.

2. The introduction should explain what problems exist in the current research and what issues this paper aims to address.

3. Section 3 should specify the location of data collection, camera resolution, lens focal length, acquisition frame rate, and weather conditions for each experiment.

4. The author should not only analyze the influencing factors of hyperspectral target detection but also propose methods to enhance the Segmentation Efficacy in Hyperspectral Target Detection.

5. Compare the method proposed by the author for enhancing the Segmentation Efficacy in Hyperspectral Target Detection with the methods in recent literature and experimentally validate the effectiveness of the author's proposed method.

 

Author Response

Please see the attachment

Author Response File: Author Response.pdf

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