基于时空域融合的红外弱小目标检测新方法

针对复杂背景下红外弱小目标的检测问题，提出一种基于时空域融合的检测方法。在空域上．通过灰度形态学Tophat变换抑制背景、增强目标；在时域上．对红外图像序列连续四帧进行沿时间轴一维小波变换，实现目标和背景的分离。然后对时空域融合的目标增强图像进行自适应阈值分割来提取弱小目标。实验结果表明。该方法能有效地检测运动红外弱小目标。

A Detection Method for Small Targets Based on Wavelet Transform and Data Fusion

For the detection of infrared small targets in complex background, a temporal-spatial fusion filtering method is proposed. The algorithm suppresses background and enhances targes by morphological Tophat transform in spatial, and the image sequences are processed with the 1-D wavelet transform in order to separate the target from background in temporal. The adaptive threshold method of image segmentation is adopted to extract the candidate targets from the fusion image. The experimental results indicate that the proposed method can detect and locate a small moving target effectively.