光谱熵 spectroscopic entropy
- 对多聚焦图像和多光谱彩色图像分别采用计算图像信息熵和均方根误差、计算图像平均梯度的方法对融合的性能进行评价。
There is explicit characteristic of correspondence reflecting the droplet transfer among the electric, spectral and image information based on time information fusion. - 而光谱曲线量化指标如中心矩、分维数和信息熵等的效果较差,不适宜应用于检索。
The quantitative indexes for spectral curves such as moment, fractal and entropy are not suitable to retrieval because of poor similarity measure performance. - 对SPOT多光谱图像和高分辨率图像进行融合实验,并利用信息熵和相关系数对融合结果进行客观评价与比较分析。
The fusion experiment is carried out by the SPOT multi-spectrum image and high-resolution image. Entropy and correlation coefficient are used to judge and analyze the fusion results objectively.
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