A spatial-structural model for classification and change detection of vegetation coverage on multispectral satellite image
Автор: Hung Trinh Le, Hoai Dao Khanh
Журнал: Вестник аграрной науки @vestnikogau
Статья в выпуске: 2 (47), 2014 года.
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In analyzing the spatial-structures of various object types represented on multispectral images, we propose a new spatial-structural model for classification and two models for change detection vegetation coverage. The model for evaluation of coastline dynamic change has eliminated the disadvantage of traditional methods. It can be applied to images received from various sensors. Both change detection models used the spatial-structural model for classification purpose. Results of analytical processes can be used for making vegetation maps, updating topographic maps, analyzing hydrology network change, agricultural land and residential areas.
Interpretation, dynamics, multispectral image, spatial-structural model
Короткий адрес: https://sciup.org/147124541
IDR: 147124541
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