EXPLORING SEMANTIC RELATIONSHIPS FOR HIERARCHICAL LAND USE CLASSIFICATION BASED ON CONVOLUTIONAL NEURAL NETWORKS

EXPLORING SEMANTIC RELATIONSHIPS FOR HIERARCHICAL LAND USE CLASSIFICATION BASED ON CONVOLUTIONAL NEURAL NETWORKS

Land use (LU) is an important information source commonly stored in geospatial databases. Most current work on automatic LU classification for updating topographic databases considers only one category level (e.g. <i>residential</i> or <i>agricultural</i>) consisting of a sma...

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Bibliographic Details
Main Authors:	C. Yang, F. Rottensteiner, C. Heipke
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-08-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/599/2020/isprs-annals-V-2-2020-599-2020.pdf

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