Research on forest land classification method of remote sensing images based on boundary information
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SPIE
Reference17 articles.
1. Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information
2. Joint Deep Learning for land cover and land use classification
3. A Novel Texture-Preceded Segmentation Algorithm for High-Resolution Imagery
4. An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery
5. Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach
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