A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images

Bibliographic Details
Main Authors: Ma, X., Hong, Y., Song, Yongze, Chen, Y.
Format: Journal Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
Online Access:http://hdl.handle.net/20.500.11937/77050
_version_ 1848763807723159552
author Ma, X.
Hong, Y.
Song, Yongze
Chen, Y.
author_facet Ma, X.
Hong, Y.
Song, Yongze
Chen, Y.
author_sort Ma, X.
building Curtin Institutional Repository
collection Online Access
first_indexed 2025-11-14T11:09:20Z
format Journal Article
id curtin-20.500.11937-77050
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:09:20Z
publishDate 2019
publisher Institute of Electrical and Electronics Engineers (IEEE)
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-770502019-12-03T01:31:18Z A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images Ma, X. Hong, Y. Song, Yongze Chen, Y. 2019 Journal Article http://hdl.handle.net/20.500.11937/77050 10.1109/jstars.2019.2941089 Institute of Electrical and Electronics Engineers (IEEE) restricted
spellingShingle Ma, X.
Hong, Y.
Song, Yongze
Chen, Y.
A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images
title A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images
title_full A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images
title_fullStr A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images
title_full_unstemmed A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images
title_short A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images
title_sort super-resolution convolutional-neural-network-based approach for subpixel mapping of hyperspectral images
url http://hdl.handle.net/20.500.11937/77050