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AbstractIn 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 algorithm 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 planted areas and analyze the planting structures.
文章编号： 0258_7106 (2016) 01_0018_15 中图分类号： P618.41 文献标志码：A
**通讯作者耿新霞， 女， 1979年生， 助理研究员， 成矿规律研究方向。 Email： gen email@example.com
Yusupujiang Aimaiti, Yusufu Maimaiti, Alimujiang kasimu.Cotton planted areas extraction based on the CART analysis——Taking three Counties (Kuqa, Xinha and Shaya) as examples[J].杂志名称,2014,21(5):187-191