Data problem

[Dawn-LLL]

Hello, I learned a lot after reading the paper you wrote. I would like to ask if the source data has been dimensionally reduced (eg: dimensionality reduction from 128 to 100)? I saw that the paper said "Thenumber of bands D and window size S of the input hyperspectral patch are set to 100 and 9” but the band of the source data in the code is 128. Is the source data input in 128 dimensions or 100 dimensions? Thank you so much

[HlEvag]

Thanks for attention！ As you said，the source domain dataset needs to be dimensionally reduced. The purpose of doing this is to keep the two domain data dimensions the same. In work, dimensions from different domains are uniformly mapped to 100. I hope my answer can solve your problem.

	hulei9608

15156565431 @. 武汉大学 测绘遥感信息工程国家重点实验室 | ---- Replied Message ---- | From | @.> | | Date | 12/19/2023 16:20 | | To | HlEvag/DMCM @.> | | Cc | Subscribed @.> | | Subject | [HlEvag/DMCM] Data problem (Issue #1) |

Hello, I learned a lot after reading the paper you wrote. I would like to ask if the source data has been dimensionally reduced (eg: dimensionality reduction from 128 to 100)? I saw that the paper said "Thenumber of bands D and window size S of the input hyperspectral patch are set to 100 and 9” but the band of the source data in the code is 128. Is the source data input in 128 dimensions or 100 dimensions? Thank you so much

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[Dawn-LLL]

Thanks for your answer, for example the PU data, shown in the code is, "parser.add_argument("-c","--src_input_dim",type = int, default = 128) parser.add_argument("-d","--tar_input_dim",type = int, default = 103) " My understanding is that dimensionality reduction was not used when the data input. But the dimensionality reduction is carried out in "self.target_mapping = Mapping(TAR_INPUT_DIMENSION, N_DIMENSION) self.source_mapping = Mapping(SRC_INPUT_DIMENSION, N_DIMENSION)". Is this understanding correct? Thanks again!!

[HlEvag]

Yes! you are right!		hulei9608

15156565431 @. 武汉大学 测绘遥感信息工程国家重点实验室 | ---- Replied Message ---- | From | @.> | | Date | 12/19/2023 16:56 | | To | @.> | | Cc | @.> , @.***> | | Subject | Re: [HlEvag/DMCM] Data problem (Issue #1) |

Thanks for your answer, for example the PU data, shown in the code is, "parser.add_argument("-c","--src_input_dim",type = int, default = 128) parser.add_argument("-d","--tar_input_dim",type = int, default = 103) " My understanding is that dimensionality reduction was not used when the data input. But the dimensionality reduction is carried out in "self.target_mapping = Mapping(TAR_INPUT_DIMENSION, N_DIMENSION) self.source_mapping = Mapping(SRC_INPUT_DIMENSION, N_DIMENSION)". Is this understanding correct? Thanks again!!

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