信息处理和分析是空间成像光谱技木中涉及最终取得地物目标识别结果的两个重要步骤。
Information processing and analysis are two important steps relating to finally acquired surface object recognition results in space imaging spectrometry.
该算法充分利用红外与可见光图像的成像特性，对两个谱段图像的目标识别结果进行决策级的融合，使多谱识别效果大大优于单谱识别。
The algorithm integrates the advantages of infrared image and visible image and makes the recognition result by multiple-spectral information better than single spectrum information.
将该方法用于一个目标识别任务的仿真实验，结果表明应用该方法能确定地识别出目标，是一种有效可行的多传感器数据融合方法。
By applying the method to the target identification, the simulation experiment shows that it can identify the target accurately and is an effective and feasible multi-sensor data fusion method.
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