FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE DETECTION

FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE DETECTION

Change detection in hyperspectral images is challenging due to the presence of a large number of spectral bands. Due to the differences in band composition, a deep model trained on one hyperspectral sensor cannot be reused on another hyperspectral sensor. This challenge can be tackled by using untra...

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Bibliographic Details
Main Authors:	S. Saha, J. Gawlikowski, X. X. Zhu
Format:	Article
Language:	English
Published:	Copernicus Publications 2022-05-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/423/2022/isprs-archives-XLIII-B3-2022-423-2022.pdf

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