In this dissertation, detection and recognition of dim and small target in images are studied.
本文主要研究图像中的弱小目标检测识别技术。
参考来源 - 复杂环境下弱小目标检测与识别技术研究Complicated background suppression is a difficult problem for infrared dim and small target detection technique.
复杂背景的抑制是红外弱小目标检测技术的一个难题。
参考来源 - 基于奇异值分解的红外弱小目标背景抑制·2,447,543篇论文数据，部分数据来源于NoteExpress
A simple and practical scheme about dim small target detection in cloudy background is given.
介绍了一种简单可行的在云层背景下检测小目标的方案。
A new method of IR small dim target detection based on big clutter background was provided. It worked well in heavy cloud and big moving clutter background.
提出了一种强噪声背景下弱小目标的快速检测方法，解决了在此背景下存在厚云层和大运动杂波的问题。
To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
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