Sensibility analysis of the Trace Transform on land coverage images
Aerial or satellital images may be used to produce terrain coverage maps, which in time are a very useful and important tool for decision-making in several fields including biodiversity, telecommunications and natural disaster management. The Trace Transform method can be used to process these image...
| Autores Principales: | Roman-Brenes, Ricardo, Torres-Rojas, Francisco, De-La-Osa, Álvaro |
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| Formato: | Artículo |
| Idioma: | Inglés |
| Publicado: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| Acceso en línea: |
https://www.scopus.com/record/display.uri?eid=2-s2.0-84943180376&origin=inward&txGid=328D6D4ED1A2B5C9855634DF17EC142E.wsnAw8kcdt7IPYLO0V48gA%3a1 https://hdl.handle.net/2238/6928 |
| Sumario: |
Aerial or satellital images may be used to produce terrain coverage maps, which in time are a very useful and important tool for decision-making in several fields including biodiversity, telecommunications and natural disaster management. The Trace Transform method can be used to process these images. This method extracts features from the images by applying a series of functionals to produce a numeric representation that will be used for classification later on. This model depends on several factors in order to have an efficient operation, among them, the frequency parameters of the traces, classifier type and land coverage. Experimentation on feature extraction time and precision rate revealed that the frequency parameters, specially Δτ, and the classifier type can affect both of them. |
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