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HJ-1A HSI Image Data Quality Evaluation and Application Potential for Features Recognition

机译:HJ-1A HSI图像数据质量评估和功能识别的应用潜力

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摘要

Using the HJ-1A HSI hyperspectral image of China and combining the methods of quality evaluation, the paper not only evaluate the data quality of radiometric precision, signal-to-noise, contrast, entropy and spectral feature fitting (SFF), but also study the ability of the features recognition, taking Wuhan region as the example. From the experiment results, we can know: 1) It's unusual from the band 1 to the band 11, and the other bands are well. 2) The ability of the features recognition is good, as the precision more than 85%. 3) The application such as agriculture, forestry, land classification, monitoring will be more effective depended on this.
机译:使用中国的HJ-1A HSI高光谱图像并结合质量评估方法,本文不仅评估了辐射精度的数据质量,发信号 - 噪声,对比度,熵和光谱特征配件(SFF),还研究特征识别的能力,以武汉地区为例。从实验结果中,我们可以知道:1)从带1到带11的频带1的不寻常,另一个带很好。 2)特征识别的能力良好,精度超过85%。 3)农业,林业,土地分类,监测等申请将更有效地依赖于此。

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