干旱地区农业研究Issue(5)：187-191,5.
基于分类回归树分析的棉花种植面积提取--以库、新、沙三县为例
Cotton planted areas extraction based on the CART analysis---Taking three Counties (Kuqa,Xinha and Shaya)as examples
摘要
Abstract
In this paper,the HJ satellite CCD images in research region of 2012 were selected as the source data, through the analysis of phenological calendar and spectral characteristics of major crops,the cotton identifiable best phase was determined .The cotton planted areas information were extracted by using the decision tree method based on CART analysis,also the extracted areas result have been evaluated by the field real survey samples and the statistical data as a reference .The results showed that:Based on the HJ satellite CCD images data,using the decision tree of CART algo-rithm can be well applied to extract the cotton covering information .The final total accuracy for extracted cotton planted areas was 94 .29%,and the position precision was 88 .57%.In this research,adopted the decision tree method,has the advantages of convenient operation,easy to implement and more realistic classification results .It can be basically met the needs of remote sensing monitoring for cotton planted areas,and provided a certain reference to estimate the cotton plant-ed areas and analyze the planting structures .关键词
棉花/面积提取/决策树分类/CART算法Key words
cotton/areas extraction/decision tree classification/CART algorithm分类
农业科技引用本文复制引用
玉苏普江·艾麦提,玉苏甫·买买提,阿里木江·卡斯木..基于分类回归树分析的棉花种植面积提取--以库、新、沙三县为例[J].干旱地区农业研究,2014,(5):187-191,5.基金项目
国家自然科学基金资助项目（41261056；41361043；31260048）；教育部回国人员科研项目；新疆师范大学研究生创新基金项目（20131229）；新疆维吾尔自治区科技厅优秀科技人才项目 （）
