Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image-Reference-Cited by-同舟云学术

Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image

Published:2022-11-18 Issue:1 Volume:6 Page:71-78
ISSN:2523-3947
Container-title:Aerospace Systems
language:en
Short-container-title:AS

Author:

Anand R.,Khan Bilal,Nassa Vinay Kumar,Pandey Digvijay^ORCID,Dhabliya Dharmesh,Pandey Binay Kumar,Dadheech Pankaj

Publisher

Springer Science and Business Media LLC

Subject

Space and Planetary Science,Computers in Earth Sciences,Mechanical Engineering,Social Sciences (miscellaneous),Aerospace Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42401-022-00168-4.pdf

Reference31 articles.

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4. Pontius J, Martin M, Plourde L et al (2008) Ash decline assessment in emerald ash borer-infested regions: a test of tree-level, hyperspectral technologies. Remote Sens Environ 112(5):2665–2676

5. Cloutis EA (1996) Review article hyperspectral geological remote sensing: evaluation of analytical techniques. Int J Remote Sens 17(12):2215–2242

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