37-ACRS_H_1.pdf
This paper describes different approaches in feature extraction for a hyperspectral image classification. For the actual feature extraction, principal components transformation, band correlation method, average intensity of the visible/infrared ranges and spectral knowledge are used. The output of each of the feature extraction method is used for a classification process. The results are analyzed and compared.
Нэмэлт мэдээлэл
| Талбар | Утга |
|---|---|
| Өгөгдлийн сүүлийн шинэчлэл | 2020 1-р сар 29 |
| Мета өгөгдөлийн сүүлийн шинэчлэл | 2020 1-р сар 29 |
| Үүссэн | 2020 1-р сар 29 |
| Хэлбэр | application/pdf |
| Ашиглах зөвшөөрөл | Creative Commons Attribution |
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