2023
DOI: 10.5194/isprs-archives-xlviii-1-w2-2023-1949-2023
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Principal Components Versus Autoencoders for Dimensionality Reduction: A Case of Super-Resolved Outputs From Prisma Hyperspectral Mission Data

K. Mishra,
B. Vozel,
R. D. Garg

Abstract: Abstract. This study attempts to solve these issues associated with hyperspectral (HS) data, i.e., coarse spatial resolution and high volume, by understanding the effect of deep learning and traditional dimensionality reduction on super-resolved products generated from the recently launched PRecursore IperSpettrale della Missione Applicativa (PRISMA) HS mission. Four single-frame super-resolution (SR) algorithms have been used to super-resolve a 30 m PRISMA scene of Ahmedabad, India and generate 15 m spatial r… Show more

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