The Verification of Land Cover Datasets with the Geo-Tagged Natural Scene Images

The Verification of Land Cover Datasets with the Geo-Tagged Natural Scene Images

Land cover is important for global change studies, and its accuracy and reliability are usually verified by field sampling, which costs a lot. A method was proposed for the verification of land cover datasets with the geo-tagged natural scene images using a convolutional neural network. The nature s...

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Bibliographic Details
Main Authors: Liu Cui, Hui Yang, Liang Chu, Qingping He, Fei Xu, Yina Qiao, Zhaojin Yan, Ran Wang, Hui Ci
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
land cover verification
NSIC (Natural Scene Images Classification)-inception model
CCI LC (Climate Change Initiative Land Cover)
geo-tagged natural scene images
GLC-FCS (global land-cover product with fine classification system)
Online Access:https://www.mdpi.com/2220-9964/11/11/567

Internet

https://www.mdpi.com/2220-9964/11/11/567

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