Target detection in a forest environment using spectral imagery
Target detection in a forest environment using spectral imagery
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使用光谱图像检测森林环境中的目标
DOI：
10.1117/12.283842
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
R. Resmini
中科院分区：
文献类型：
--
作者：
R. C. Olsen;Steven M. Bergman;R. Resmini
对 HYDICE 仪器的光谱图像进行分析，用于目标检测和识别。 0.4-2.5 微米波长范围内的数据是在森林辐射数据收集过程中获取的。数据是从由草地和森林区域组成的区域进行分析的。现场部署了各种目标，并进行了地面实况光谱测量。利用“地面实况”和“现场”光谱对反射率数据进行分析。前者在校准方面有些不准确，但对数据子集的训练允许对其余数据进行相对成功的检测和分类。使用了光谱角度映射器和匹配滤波器技术。两者都成功地定位了目标，但后者似乎更容易受到“误报”的影响，尽管这可能是分类过程中设置的阈值的函数。
Spectral imagery from the HYDICE instrument was analyzed for the purpose of target detection and identification. Data in the 0.4-2.5 micron wavelength range were acquired during the FOREST RADIANCE data collect. Data were analyzed from an area consisting of grassy fields and forest areas. A variety of targets were deployed in the field, with ground truth spectral measurements made. Analysis of reflectance data utilizing 'ground truth' and 'in-scene' spectra was conducted. The former suffered somewhat from inaccuracies in calibration, but training on subsets of the data allowed for relatively successful detection and classification in the remainder of the data. Spectral angle mapper and matched filter techniques were used. Both were successful in locating targets, but the later seemed to suffer more from 'false positives', though this may have been a function of thresholds set in the classification process.