Development of Land Cover Classification Model Using AI Based FusionNet Network

Development of Land Cover Classification Model Using AI Based FusionNet Network

Prompt updates of land cover maps are important, as spatial information of land cover is widely used in many areas. However, current manual digitizing methods are time consuming and labor intensive, hindering rapid updates of land cover maps. The objective of this study was to develop an artificial...

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Bibliographic Details
Main Authors: Jinseok Park, Seongju Jang, Rokgi Hong, Kyo Suh, Inhong Song
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
land cover map
land cover classification
convolutional neural network
AI
agricultural area
Online Access:https://www.mdpi.com/2072-4292/12/19/3171

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