地理空间信息2013，Vol.11Issue(2)：111-113,3.DOI:10.11709/j.issn.1672-4623.2013.02.035
基于MODIS影像多特征的CART决策树分类
CART Decision Tree Classifier Based on Multi-feature of MODIS Data
摘要
Abstract
Taking Shandong Province as the study area, we chose composite albedo MODIS products MODIS09Q1 (Bl～B2 band in September 2009, 250 m resolution)- MODIS09A1 (B3～B7 band, 500 m resolution) for one period of 8-day, characteristics variables vegetation index (NDVI, EVI,)NDWI, NDSI, and auxiliary information DEM by selecting a combination of image features to determine the classification schemes. The CART decision tree was built for each kind of band combination to classify MODIS images. The optimum band combination of the CART decision tree was composed of the bands of B1~B7,DEM,NDVI,NDMI and Feature variables DEM, NDVI, EVI make a greater contribution to classification results. Comparing CART decision tree classification results with their corresponding maximum likelihood classification results, it show that the CART decision tree classification based on image features can significantly improve the classification accuracy.关键词
MODIS/波段选择/NDVI/EVI/NDWI/NDMI/NDSI/CART决策树Key words
MODIS/ bands selection/ NDVI/ EVI/ NDWI/ NDMI/ NDSI/CART decision tree分类
天文与地球科学引用本文复制引用
张会,闫金凤..基于MODIS影像多特征的CART决策树分类[J].地理空间信息,2013,11(2):111-113,3.基金项目
国家863计划重点资助项目(2009AA12Z147). （2009AA12Z147）
