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薇甘菊是危害最严重的外来入侵物种之一,其生长与传播极其迅速,对我国森林生态系统造成了严重破坏,相关管理部门需要一个有效的薇甘菊监测手段。传统人工调查方式需要投入大量的人力物力,成本高昂、效率低下;近年来快速发展的高光谱遥感技术为薇甘菊的监测提供了新思路。本文以无人机搭载的Nano-Hyperspec高光谱仪获取的广东省增城林场遥感影像数据为基础,对高光谱数据进行几何校正、影像降噪处理、辐射定标及坏带波段剔除等影像预处理;运用最佳指数因子法(OIF)、自适应波段法(ABS)、自动子空间划分(ASP)与自适应波段相结合的波段选择法(ASP+ABS) 3种方法进行波段选择,获取信息量较大且波段间相关性较低的特征波段组成薇甘菊分类最佳波段组合,生成3幅遥感影像;最后采用支持向量机方法(SVM)对生成的3幅不同遥感影像进行分类,以分类结果的精度评价3种波段组合对薇甘菊高光谱特征的响应程度,选出更能反映薇甘菊的光谱特征的波段组合。试验结果表明,针对Nano-Hyperspec遥感影像数据,使用OIF波段选择法,研究区内薇甘菊的制图精度和用户精度分别为74.62%、66.52%;使用ABS波段选择法... 相似文献
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地球物理技术在天然气水合物预测中的应用 总被引:1,自引:0,他引:1
Based on the sensitivity of geophysical response to gas hydrates contained in sediments, we studied the prediction of gas hydrates with seismic techniques, including seismic attributes analysis, AVO, inverted velocity field construction for dipping formations, and pseudo-well constrained impedance inversion. We used an optimal integration of geophysical techniques results in a set of reliable and effective workflows to predict gas hydrates. The results show that the integrated analysis of the combination of reflectivity amplitude, instantaneous phase, interval velocity, relative impedance, absolute impedance, and AVO intercept is a valid combination of techniques for identifying the BSR (Bottom Simulated Reflector) from the lower boundary of the gas hydrates. Integration of seismic sections, relative and absolute impedance sections, and interval velocity sections can improve the validity of gas hydrates determination. The combination of instantaneous frequency, energy half attenuation time, interval velocity, AVO intercept, AVO product, and AVO fluid factor accurately locates the escaped gas beneath the BSR. With these conclusions, the combined techniques have been used to successfully predict the gas hydrates in the Dongsha Sea area. 相似文献
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紫杉醇是一种具有高效抗癌特性的二萜类物质,其生物合成途径一直是科学家们研究的热点.'金锡杉'是南方红豆杉变种,相较于原种含有更加丰富的紫杉醇,因此是一种重要的遗传资源.本研究以'金锡杉'为材料,运用生物信息学方法分析了紫杉醇合成途径中两种关键酶基因GGPPS(geranylgeranyl diphosphate syn... 相似文献
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