混合像元分解流程

混合像元分解流程
混合像元分解流程（Spectral Unmixing Process）
英文：
The mixed pixel decomposition process involves several key steps. Initially, it is crucial to ensure that the imagery has undergone necessary preprocessing, including geometric correction, atmospheric correction, and noise reduction. Once the imagery is ready, the process begins with the extraction of endmember spectra, which can be obtained from the image itself, spectral libraries, or other sources. Following the extraction of endmembers, a decomposition model is selected to derive the relative abundance maps of each endmember spectrum within each pixel. This involves the application of algorithms that analyze the spectral information and estimate the contribution of each endmember to the overall pixel reflectance. Finally, the abundance maps are used to extract pixels with different composition ratios, enabling a more detailed understanding of the underlying land cover and materials present in the image.
中文：
混合像元分解流程包括几个关键步骤。

首先，确保影像已经完成了必要的预处理，包括几何校正、大气校正和去噪等。

当影像准备好后，流程开始于端元波谱的提取，这些端元波谱可以从图像本身、波谱库或其他来源获取。

在提取了端元之后，选择一种分解模型来推导每个像素内每个端元波谱的相对丰度图。

这涉及应用算法来分析光谱信息，并估计每个端元对整体像素反射率的贡献。

最后，从丰度图上提取具有不同组成比例的像元，从而更详细地了解图像中底层的地物覆盖和存在的材料。

这个流程是混合像元分解的基础，它有助于研究人员更深入地了解遥感图像中的复杂地物组成和分布情况。

通过应用合适的分解模型和算法，可以获得更为准确和详细的地物信息，进而支持各种地理空间分析和应用。