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Study on Non-negative Matrix Factorization Based Endmember Extraction Algorithm for Ballistic Missile

机译:基于非负矩阵分解的弹道导弹末端元提取算法研究

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摘要

Endmember extraction technology of ballistic missile is an important research content in spectral remote sensing, whichcan effectively solve the mix pixel problem. This paper starts with the background requirement of near space andresearch content of mixed spectral endmember extraction. The algorithm of spectral endmember extraction based onnon-negative matrix factorization for ballistic missile in near space background is proposed and analyzed. The simulationresults show that the proposed algorithm demonstrates the good performance in the condition of random mixing modeand correlation mixing mode.
机译:弹道导弹的端元提取技术是光谱遥感的重要研究内容, 可以有效解决混合像素问题。本文从近空间的背景要求入手。 混合光谱端元提取的研究内容。基于谱的端元提取算法 提出并分析了近空间背景下弹道导弹的非负矩阵分解。模拟 结果表明,该算法在随机混合模式下具有良好的性能。 和相关混合模式。

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