Feasibility of Multispectral Airborne Laser Scanning Data for Road Mapping | Zendy

Kirsi Karila | Zendy; Leena Matikainen | Zendy; Eetu Puttonen | Zendy; Juha Hyyppa | Zendy

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Feasibility of Multispectral Airborne Laser Scanning Data for Road Mapping

Author(s) -

Kirsi Karila,

Leena Matikainen,

Eetu Puttonen,

Juha Hyyppa

Publication year - 2017

Publication title -

ieee geoscience and remote sensing letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.372

H-Index - 114

eISSN - 1558-0571

pISSN - 1545-598X

DOI - 10.1109/lgrs.2016.2631261

Subject(s) - geoscience , power, energy and industry applications , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , signal processing and analysis

Multispectral airborne laser scanning (ALS) data have recently become available. The objective of this letter is to study the feasibility of these data for road mapping-for road detection and road surface classification. The results are compared with the results of traditional aerial ortho images using object-based image analysis and Random Forest classification. The results demonstrate that the multispectral ALS data are feasible for automatic road detection and a significant improvement compared to the use of optical aerial imagery is obtained. In a test using ALS data, 80.5% points representing roads were classified correctly. When aerial images were used, the percentage decreased to 71.6%.

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