Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data-Reference-Cited by-同舟云学术

Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data

Published:2022-11 Issue: Volume:281 Page:113263
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Zhou Shanyu,Kaufmann Hermann,Bohn Niklas,Bochow Mathias,Kuester Theres,Segl Karl

Funder

Bundesministerium für Wirtschaft und Energie

Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ

Deutsches Zentrum für Luft- und Raumfahrt

China Scholarship Council

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

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