约束能量最小化(Constrained Energy Minimization,CEM)是一种常见的小目标探测算法,为提高该算法的探测效率,提出了基于图像对比度的监督波段选择方法(CBS)。该方法针对CEM探测原理,依据高光谱数据各波段图像的对比度以及波段间相关性...约束能量最小化(Constrained Energy Minimization,CEM)是一种常见的小目标探测算法,为提高该算法的探测效率,提出了基于图像对比度的监督波段选择方法(CBS)。该方法针对CEM探测原理,依据高光谱数据各波段图像的对比度以及波段间相关性,选择出对比度大且波段间相关性小的波段组合用于小目标探测。实验发现基于CBS探测结果明显优于基于图像方差的波段选择方法(VBS)的探测结果。在得到质量相当的探测图像前提下,使用CBS需要的波段数远小于使用VBS需要的波段数。CBS对于降低CEM探测的计算量,提高探测的实时性具有重要意义。展开更多
An image multi-scale edge detection method based on anti-symmetrical bi-orthogonal wavelet is given in theory. Convolution operation property and function as a differential operator are analyzed,which anti-symmetrical...An image multi-scale edge detection method based on anti-symmetrical bi-orthogonal wavelet is given in theory. Convolution operation property and function as a differential operator are analyzed,which anti-symmetrical bi-orthogonal wavelet transform have. An algorithm for wavelet reconstruction in which multi-scale edge can be detected is put forward. Based on it, a detection method for small target in infrared image with sea or sky background based on the anti-symmetrical bi-orthogonal wavelet and morphology is proposed. The small target detection is considered as a process in which structural background is removed, correlative background is suppressed, and noise is restrained. In this approach, the multi-scale edge is extracted by means of the anti-symmetrical bi-orthogonal wavelet decomposition. Then, module maximum chains formed by complicated background of clouds, sea wave and sea-sky-line are removed, and the image background becomes smoother. Finally, the morphology based edge detection method is used to get small target and restrain undulate background and noise. Experiment results show that the approach can suppress clutter background and detect the small target effectively.展开更多
文摘约束能量最小化(Constrained Energy Minimization,CEM)是一种常见的小目标探测算法,为提高该算法的探测效率,提出了基于图像对比度的监督波段选择方法(CBS)。该方法针对CEM探测原理,依据高光谱数据各波段图像的对比度以及波段间相关性,选择出对比度大且波段间相关性小的波段组合用于小目标探测。实验发现基于CBS探测结果明显优于基于图像方差的波段选择方法(VBS)的探测结果。在得到质量相当的探测图像前提下,使用CBS需要的波段数远小于使用VBS需要的波段数。CBS对于降低CEM探测的计算量,提高探测的实时性具有重要意义。
基金Sponsored by China Postdoctoral Science Foundation (20060400400)
文摘An image multi-scale edge detection method based on anti-symmetrical bi-orthogonal wavelet is given in theory. Convolution operation property and function as a differential operator are analyzed,which anti-symmetrical bi-orthogonal wavelet transform have. An algorithm for wavelet reconstruction in which multi-scale edge can be detected is put forward. Based on it, a detection method for small target in infrared image with sea or sky background based on the anti-symmetrical bi-orthogonal wavelet and morphology is proposed. The small target detection is considered as a process in which structural background is removed, correlative background is suppressed, and noise is restrained. In this approach, the multi-scale edge is extracted by means of the anti-symmetrical bi-orthogonal wavelet decomposition. Then, module maximum chains formed by complicated background of clouds, sea wave and sea-sky-line are removed, and the image background becomes smoother. Finally, the morphology based edge detection method is used to get small target and restrain undulate background and noise. Experiment results show that the approach can suppress clutter background and detect the small target effectively.
