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Open AccessReview

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

Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500 AE, The Netherlands
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Academic Editors: Farid Melgani, Gonzalo Pajares Martinsanz, Richard Müller and Prasad S. Thenkabail
Remote Sens. 2016, 8(8), 689; https://doi.org/10.3390/rs8080689
Received: 30 June 2016 / Revised: 3 August 2016 / Accepted: 11 August 2016 / Published: 22 August 2016
(This article belongs to the Special Issue Recent Trends in UAV Remote Sensing)
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 not exploited to its full potential: based on UAV data, cadastral boundaries are visually detected and manually digitized. A workflow that automatically extracts boundary features from UAV data could increase the pace of current mapping procedures. This review introduces a workflow considered applicable for automated boundary delineation from UAV data. This is done by reviewing approaches for feature extraction from various application fields and synthesizing these into a hypothetical generalized cadastral workflow. The workflow consists of preprocessing, image segmentation, line extraction, contour generation and postprocessing. The review lists example methods per workflow step—including a description, trialed implementation, and a list of case studies applying individual methods. Furthermore, accuracy assessment methods are outlined. Advantages and drawbacks of each approach are discussed in terms of their applicability on UAV data. This review can serve as a basis for future work on the implementation of most suitable methods in a UAV-based cadastral mapping workflow. View Full-Text
Keywords: UAV Photogrammetry; optical sensors; HRSI; image segmentation; line extraction; contour generation; image analysis; OBIA; land administration; cadastral boundaries UAV Photogrammetry; optical sensors; HRSI; image segmentation; line extraction; contour generation; image analysis; OBIA; land administration; cadastral boundaries
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Crommelinck, S.; Bennett, R.; Gerke, M.; Nex, F.; Yang, M.Y.; Vosselman, G. Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping. Remote Sens. 2016, 8, 689.

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