光子学报, 2018, 47 (7): 0710001, 网络出版: 2018-09-16   

基于滑动阵列的高光谱图像非因果实时RXD检测

Non-casual Real-time RXD Detection for Hyperspectral Imagery Based on Sliding Array
作者单位
1 杭州电子科技大学 计算机学院, 杭州 310018
2 大连海事大学 信息科学技术学院, 辽宁 大连 116026
3 中国科学院光谱成像技术重点实验室, 西安 710119
4 浙江大学 电气工程学院, 杭州 310027
摘要
为了有效缓解海量高光谱数据存储与传输压力并快速精确检测异常目标, 提出一种以滑动阵列窗像元为局部背景的高光谱图像非因果实时RXD异常检测方法.利用随数据逐像元接收而滑动的阵列窗确定局部背景像元, 运用Woodbury引理, 通过矩阵与向量的乘法和矩阵的加减实现局部背景协方差矩阵的求逆运算, 在逐像元接收数据的同时实现阵列窗口中心像元的异常检测.模拟和真实高光谱图像实验结果表明, 与现有实时检测方法相比, 所提方法在检测性能或运行效率上有所提升; 相比非实时的滑动阵列RXD异常检测, 所提方法时间复杂度更低, 处理大小为200×200含189波段的图像, 其加速比达到近26倍.实验结果验证了该方法能在不降低检测精度的同时满足低运算量和低存储空间的实时性要求.
Abstract
To reduce the storage and transmission burden of massive hyperspectral data as well as keep detecting the anomaly targets accurately and rapidly, a novel non-causal real-time anomaly detection algorithm based on sliding array window is proposed. During receiving the data pixel-by-pixel, the array window slides and determines the local background pixels; and according to the Woodbury lemma, the computation of the matrix inverse of local background can be replaced by the vector multiplication and matrix additions equivalently, then the anomaly pixel in the center of the sliding array window would be detected when receiving the data pixel-by-pixel. The experiments on synthetic and real-world hyperspectral images demonstrate that, compared with several existing real-time detection methods, the proposed method can improve the performance of detection accuracy or computational efficiency. Compared with the non-real-time sliding array RXD anomaly detector, the proposed algorithm has a lower time complexity, and the speedup ratio is nearly 26 times when processing an image with 200×200 pixels and 189 bands. Experimental results verified that the proposed algorithm could maintain the detection accuracy as well as meet the real-time requirements of low computational complexity and low storage space.

赵辽英, 林伟俊, 王玉磊, 厉小润. 基于滑动阵列的高光谱图像非因果实时RXD检测[J]. 光子学报, 2018, 47(7): 0710001. ZHAO Liao-ying, LIN Wei-jun, WANG Yu-lei, LI Xiao-run. Non-casual Real-time RXD Detection for Hyperspectral Imagery Based on Sliding Array[J]. ACTA PHOTONICA SINICA, 2018, 47(7): 0710001.

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