Automatic classification of fine-scale mountain vegetation based on mountain altitudinal belt.

ABSTRACT: Vegetation mapping is of considerable significance to both geoscience and mountain ecology, and the improved resolution of remote sensing images makes it possible to map vegetation at a finer scale. While the automatic classification of vegetation has gradually become a research hotspot, real-time and rapid collection of samples has become a bottleneck. How to achieve fine-scale classification and automatic sample selection at the same time needs further study. Stratified sampling based on appropriate prior knowledge is an effective sampling method for geospatial objects. Therefore, based on the idea of stratified sampling, this paper used the following three steps to realize the automatic selection of representative samples and classification of fine-scale mountain vegetation: 1) using Mo

SUBMITTER: Zhang J 

PROVIDER: S-EPMC7447069 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature