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作物秸秆信息的准确提取对于农业可持续发展与秸秆焚烧火点的探测有重要意义。本文在野外作物秸秆光谱采集与光谱特征分析的基础上,以江苏省扬州市区为典型研究区,依照HJ卫星CCD相机多光谱遥感波段进行光谱重采样,并结合HJ卫星CCD遥感数据,建立了作物秸秆光谱识别乘积指数(SMI),最后通过改进PSO最大类间方差算法对SMI影像进行"动态-全局"阈值分割,实现了作物秸秆信息的有效提取。 更多还原

【Abstract】 The extraction of crop straw is very important for agricultural sustainable development and straw-burning fire detection.In this paper,the reflective spectrum of ASD,together with HJ-1 CCD reflectance image were used to get the Straw Multiplier Index(SMI) to distinguish straw fields in Yangzhou,Jiangsu Province.Then improved OTSU algorithm which based on PSO,combined with "Dynamic-Global " threshold was used to get crop straw information from SMI image. 更多还原