Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping

Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping

Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible acquisition system that appears feasible for application in cadastral mapping: high-resolution imagery, acquired using UAVs, enables a new approach for defining property boundaries. However, UAV-derived data are arguably...

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Bibliographic Details
Main Authors: Sophie Crommelinck, Rohan Bennett, Markus Gerke, Francesco Nex, Michael Ying Yang, George Vosselman
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Remote Sensing
Subjects:
UAV Photogrammetry
optical sensors
HRSI
image segmentation
line extraction
contour generation
image analysis
OBIA
land administration
cadastral boundaries
Online Access:http://www.mdpi.com/2072-4292/8/8/689

Internet

http://www.mdpi.com/2072-4292/8/8/689

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