论文信息 - Study on Forest Vegetation Classification Based on Multitemporal Remote Sensing Images

Study on Forest Vegetation Classification Based on Multitemporal Remote Sensing Images

It is very difficult to classify forest vegetation in mountain areas because of the impact of complex terrain. A new method, classification of forest vegetation based on multi-temporal remote sensing, is proposed in this paper. The forest of different plants with multi-temporal images. So it enhanced the separability the accuracy could be greatly improved by using multi-temporal remote sensing images. The overall accuracy and kappa coefficient were 81.3% and technological advantages and important application potentiality in forest vegetation classification.

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