| 基于嵌套窗口的高光谱图像目标检测 |
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| 引用本文： | 张文升,王立国,孟凡旺.基于嵌套窗口的高光谱图像目标检测[J].应用科技,2009,36(5):12-15. |
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| 作者姓名： | 张文升 王立国 孟凡旺 |
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| 作者单位： | 哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 针对经典RX检测算法所存在的窗口分析方式的不足，提出一种基于嵌套窗口分析的高光谱图像小目标检测算法，并将这种嵌套方式应用到线性RX、非线性核特征向量空间分解（KEST）算法之中，对不同窗口方式的检测算法以及非线性判别分析检测算法进行了详尽的对比分析．实验表明，在3层嵌套窗口下的文中算法能够获得更好的目标检测效果．
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| 关 键 词： | 高光谱图像 目标检测 嵌套窗口 特征空间分解 |
Nested spatial window based target detection for hyperspectral images |
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| ZHANG Wen-sheng,WANG Li-guo,MENG Fan-wang.Nested spatial window based target detection for hyperspectral images[J].Applied Science and Technology,2009,36(5):12-15. |
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| Authors: | ZHANG Wen-sheng WANG Li-guo MENG Fan-wang |
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| Institution: | ( College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China) |
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| Abstract: | Aiming at classic RX algorithmg insufficiency of window analysis, an algorithm for small target detection in hyperspectral imaging based on the nested spatial linear RX and nonlinear KEST. And then different window analysis was proposed and applied to the algorithms of window detection algorithms and nonlinear KFDA were compared and analyzed. The experiment proves that this algorithm can improve the effect of small target detection in three-layer nested spatial windows |
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| Keywords: | hyperspectral images target detection nested spatial window eigenspace separation transform |
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