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。
The advantages of wavelet transform constructed with lifting scheme are introduced and compression algorithm based on lifting wavelet for SAR raw data is proposed.
该文介绍了提升方法构造小波变换的优点，结合SAR原始数据的特点，提出了基于提升小波变换的SAR 原始数据压缩算法。
The advantages of wavelet transform constructed with lifting scheme are introduced and compression algorithm based on lifting wavelet for SAR raw data is proposed.
该文介绍了提升方法构造小波变换的优点，结合SAR原始数据的特点，提出了基于提升小波变换的SAR 原始数据压缩算法。
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