| УДК |
Кл.слова (ненормированные):
site quality -- satellite images -- discriminant analysis -- Markov random field -- sementation
Аннотация: Two operative forest site class estimation methods utilizing sateellite images have been developed for forest income taxation purposes. For this two pixelwise classification methods and two post-processing methods for estimating forest site fertility are compared using different input data. The pixelwise methods are discriminant analysis, based on generalized squared distances, and logistic regression analysis. The results of pixelwise classification are improved either with mode filtering within forest stands or assuming a Markov random field type dependence between pixels. The stand delineation is obtained by using ordinary segmentation techniques. All metrhods are justified by using independent test data.
Экземпляры всего: 1
ИЛ-ИФ (1)
Свободны: ИЛ-ИФ (1)