基于CBERS-02卫星遥感图像的棉花光谱识别模型的建立

新疆南疆地区是中国重要的棉花产区,准确及时地获取棉区播种面积及长势状况对于棉花生产与管理有重要的意义。本研究以2005年7月10日中巴资源卫星CBERS-02卫星CCD1-4波段遥感图像为数据源,分析了阿拉尔垦区棉花、果园、草地、居民地、盐碱地及水库6种典型地物的光谱特征,建立了遥感解译标志。以CBERS-02卫星CCD1-4图像DN值及NDVI值组合为条件构成判断表达式,从而建立了棉花遥感光谱识别模型,并采用ERDAS遥感图像处理软件的空间建模方法提取了棉花面积及分布信息。

Research on the cotton recognition model based spectral information of CBERS-02 satellite remote sensing image

The Southern Xinjiang is one of China＇s key cotton producing areas, so it is very important to accurately and timely obtain the growing areas and the state of cotton production for better management. This paper, based on CBERS--02 satellite CCD1 --4 remote sensing image of the July 10, 2005 in Alar Reclamation region, analyzed the six kinds of typical objects spectral characteristics of cotton, orchard, lawn, reservoir, town and the saline--alkali soil, and gained the CBERS--02 image interpretation keys of such objects. Using CCD1--4 remote sensing image DNIdigital number） values and NDVI , established a cotton remote sensing spectral recognition model, and used the Spatial modeling method of ERDAS remote sensing image processing software, the size and distribution of cotton information can be extracted.