摘要
无损压缩在遥感领域有极其重要的作用。该文提出一种基于感知器模型的遥感图像无损压缩编码方法,该方法利用感知器具有学习能力的特点,自适应地调整图像的预测系数,对遥感图像进行空间和谱间去相关,然后进行熵编码。实验表明,对于多波段的遥感图像,该方法的压缩效果明显优于无损JPEG(Joint of Picture Expert Group)最优预测模式。
Image lossless compression plays an important role in the remote sensing field. A new lossless coding algorithm based on perceptron is studied in this paper. The prediction coefficients can be adaptively adjusted by this model. Consequently both spacial and spectral correlation can be reduced. Experiments show that the algorithm is effective for remote sensing image.
出处
《电子与信息学报》
EI
CSCD
北大核心
2001年第7期712-715,共4页
Journal of Electronics & Information Technology
基金
国家部级基金(编号为98J20.0.0QT0101)
