Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey

Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition. The numerous challenges associated with geoscience-related imaging data, which include poor imaging quality, noise, missing values, lack of precise boundaries defining various geoscience...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 14; H. 23; S. 6017
Hauptverfasser:	Savelonas, Michalis A., Veinidis, Christos N., Bartsokas, Theodoros K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2022
Schlagworte:	Algorithms Cameras Cloud computing Clustering Computer applications Computer vision Data mining Decision trees Deep learning Digital Elevation Models Domains Earth science geoscience Graphics processing units Hyperspectral imaging Labeling Land cover Lasers LiDAR Machine learning multispectral imaging Neural networks Pattern analysis Pattern recognition Radar imaging Remote sensing Satellites Sensors Software Standardization Synthetic aperture radar Target detection Topography Two dimensional analysis Unmanned aerial vehicles
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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