首页> 外文会议>Asian conference on remote sensing;International symposium on remote sensing;ACRS 2003 ISRS >Detection of Microphytobenthos Using Spectral UnmixingMethod in the Saemangeum Tidal Flat, Korea
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Detection of Microphytobenthos Using Spectral UnmixingMethod in the Saemangeum Tidal Flat, Korea

机译:光谱分离法检测韩国Saemangeum滩涂微底栖细菌

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Microphytobenthos that supply nutrients to the intertidalecosystem play an important part as a primary producer.If we estimate distribution and density of microphytobenthos,we can possibly calculate a volume of primary product in thetidal flat and its effect to the intertidal ecosystem. To estimatethe portion of microphytobenthos, we used a linear spectralunmixing (LSU) method. LSU is a tool for inference the proportionsof the pure components (or end-members) in a mixedpixel. The selection of end-members is critical to LSU. Theend-members can be selected either from spectral libraries builtfrom field surveys or from a remotely sensed image. We comparedthe two approaches of end-member selection, and thepreliminary results showed end-members from from spectrallibrary are as effective as those from image itself.
机译:为潮间带生态系统提供营养的微型底栖动物起着重要的生产者的作用。如果我们估算微型底栖动物的分布和密度,我们可能可以计算出潮滩中初级产品的体积及其对潮间带生态系统的影响。为了估算微底栖植物的比例,我们使用了线性光谱分解法(LSU)。 LSU是一种用于推断混合像素中纯组分(或末端成员)比例的工具。最终成员的选择对于LSU至关重要。末端成员可以从通过现场调查建立的光谱库中选择,也可以从遥感图像中选择。我们比较了端成员选择的两种方法,初步结果表明,来自光谱库的端成员与来自图像本身的端成员一样有效。

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