Semi-Supervised Semantic Segmentation-Based Remote Sensing Identification Method for Winter Wheat Planting Area Extraction
Round 1
Reviewer 1 Report
Comments and Suggestions for Authors
Comments for author File: Comments.pdf
Comments on the Quality of English Language
The quality of the English language is good enough for the manuscript.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for Authors
The authors present an interesting paper proposing a Semi-Supervised Semantic Segmentation-Based method for extracting winter wheat planting areas. However, it is advisable to improve some aspects of the paper, namely:
1. - In the literature review, they should give more detail about the methods they use as comparative, as well as identify the limitations/constraints of each of them. Furthermore, substantiates the gains from its application to the case study.
2.- During the description of the method/approach presented by the authors, it would be interesting if they included a "structure of fusion architecture", or "the overall framework model".
3.- Furthermore, it is not clear when it is recommended to use the MPA and MIoU methods/techniques, is it related to some previously defined threshold "between each segment of image"? Is your application dependent on entropy?
Finally, congratulations on your work!
Author Response
Please see the attachment.
Author Response File: Author Response.pdf