A road mobile mapping device for supervised classification of amphibians on roads.

We present the classification results of a supervised algorithm of road images containing amphibians. We used a prototype of a mobile mapping system composed of a scanning system attached to a traction vehicle capable of recording road surface images at speed up to 30 km/h. We tested the algorithm in three test situations (two control and one real): with plastic models of amphibians; with dead specimens of amphibians; and with real specimens of amphibians in a road survey. The classification results of the algorithm changed among tests, but in any case, it was able to detect more than 80% of the amphibians (more than 90% in control tests). Unfortunately, the algorithm presented as well a high rate of false-positive detections, varying from 80% in the real test to 14% in the control test with dead specimens. The Mobile Mapping Systems (MMS) is ideal for passive surveys and can work by day or night …

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Sillero N. Ribeiro H. Franch M. Silva C. y Lopes G. A road mobile mapping device for supervised classification of amphibians on roads. Springer, 2018. https://doi.org/10.1007/s10344-018-1236-4

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Retrieved: 22 Jan 2025 02:35:59
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Resource type Text
Date of creation 2024-12-02
Date of last revision 2025-01-21
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Metadata identifier c9da5eb6-2624-5417-8d4b-a5209df42581
Metadata language Spanish
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ISO 19115 topic category biota
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Name of the dataset creator Sillero, N., Ribeiro, H., Franch, M., Silva, C. y Lopes, G.
Name of the dataset editor Springer
Other identifier DOI: 10.1007/s10344-018-1236-4
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