Machine Learning and Deep Learning Techniques for Spectral Spatial Classification of Hyperspectral Images: A Comprehensive Survey

Round 1

Reviewer 1 Report

This work explores spectral-spatial data to review Traditional Machine Learning and Deep Learning Techniques thoroughly. The paper's contribution to existing knowledge in this research field is well justified. The paper needs to contribute more, and the following points can improve the manuscript.

 

 

1. The title can be improved. HIS should be defined.
2. Enhance the abstract and introduction to show the motivation for this work.
3. Figure 1 can be removed.
4. Figure 6 should be removed and written only in the text.
5. Figures 3, 7, and 9 should be improved.
6. Tables 1, 3, 4, and 5 should be updated to include 2021 and 2022 research work.
7. The manuscript organization should be improved. 
8. Improve the English of the work. There are too many problems with paper typesetting.
9. The paper is unsuitable for acceptance in its current form. The article needs rewriting to address the comments mentioned above. 

Author Response

PLEASE SEE THE ATTACHMENT

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Author,

Please consider the following comments below to improve the paper prior to the publication:

1. The abstract should provide a clear idea about the main problem and the objective of the article

 2. Writing needs to be improved.

 

3. Experiments and analyses need to be more substantial.

4.English must be improved

5.The abstract needs a better structure

6. "HSI" should be defined in the title and in the first apperance in the article.

 

 

Author Response

PLEASE SEE THE ATTACHMENT

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors have addressed most of my concerns. The paper can be accepted.