Spatial location and ecological content of support vectors in an SVM classification of tropical vegetation
The Support Vector Machines (SVM) are increasingly far-reaching in remotely sensed data classification. As supervised classifiers, the SVM output depends on the input pixels, pointing out that training is potentially an important stage for optimizing classification accuracy. The SVM consist in proje...
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| Vydané v: | Remote Sensing Letters Ročník 4; číslo 7; s. 686 - 695 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Abingdon
Taylor & Francis
01.07.2013
Informa UK Limited Taylor & Francis Ltd Taylor and Francis |
| Predmet: | |
| ISSN: | 2150-7058, 2150-704X, 2150-7058 |
| On-line prístup: | Získať plný text |
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