Hyperspectral Image Classification Based on Dense Pyramidal Convolution and Multi-Feature Fusion
, Jian Wang 5, Peiying Zhang 1,2, Wei Zhang 6 and Leiquan Wang 1Round 1
Reviewer 1 Report
Please see the attatched file.
Comments for author File: 
Comments.pdf
I think English should be improved.
Author Response
Dear Editor and Reviewers,
Thank you very much for taking your time to review this manuscript. We sincerely appreciate all your comments and suggestions! We have addressed each of the comments and made a number of changes to the manuscript in response to your precious comments. We also recheck the English of the manuscript. Our response is given in blue font and changes/additions to the manuscript are given in the red text.
Author Response File: Author Response.pdf
Reviewer 2 Report
1. Section 2.3 "Framework of the DPCMF Network" describes that the size of the image samples after PCA is 145*145*100, and the Output Size of the PCA layer in Table 1. Implementation details of the spatial branch attached later is 9*9 *100, it can be explained in the PCA part whether to use the original image for PCA or something else.
2. Figure 4. "Architecture of the non-local block" in Section 2.2 "Non-local block", each Convolution layer can be stacked squares instead of cylinders to represent the convolution layer, which is easier to understand the architecture diagram.
3.References can be added "C.Yu, R.Han, M.Song, C.Liu, C.Chang, "Feedback
Attention-Based Dense CNN for Hyperspectral Image Classification", in which the architecture is also divided into two branches: spatial (Spatial) and spectral (Spectral), and the concept of DenseNet is also used for feature extraction. The proposed method can also compare the results with it.
Author Response
Dear Editor and Reviewers,
Thank you very much for taking your time to review this manuscript. We sincerely appreciate all your comments and suggestions! We have addressed each of the comments and made a number of changes to the manuscript in response to your precious comments. We also recheck the English of the manuscript. Our response is given in blue font and changes/additions to the manuscript are given in the red text.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
We have no more questions.
Reviewer 2 Report
The authors addressed all the issues.
The authors addressed all the issues.
