Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm
Crossref DOI link: https://doi.org/10.1007/s00521-021-06121-4
Published Online: 2021-05-29
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Singh, Pangambam Sendash
Karthikeyan, Subbiah
Text and Data Mining valid from 2021-05-29
Version of Record valid from 2021-05-29
Article History
Received: 31 October 2020
Accepted: 11 May 2021
First Online: 29 May 2021
Declarations
:
: The authors declare that they have no conflict of interest.