Optimal Recursive Bidirection Prediction for Hyperspectral Image Compression

摘要：

In this paper, we propose a new algorithm named Optimal Recursive Bidirection Prediction (ORBP) for HyperSpetral Image (HSI) compression. Recursive Bidirection Prediction (RBP) is a good algorithm for HSI inter-band prediction. Its simple, efficient. But the algorithm cant get optimal prediction result under the sense of SNR. In this paper, the linear model of HSI is established, and the best prediction is deduced under the sense of SNR The proposed method can get lower entropy after prediction. Computer simulation results show that compared with the traditional algorithm RBP, the proposed method ORBP has a great improvement by about 9.2738dB in SNR in average.

作者: Y S Chen Y Zhang J P Zhang Y F Gu

作者单位: Dept.of Information Engineering, Harbin Institute of Technology, Harbin, China

会议类型: 国际会议

会议名称: 第四届仪器科学与技术国际会议( 4th International Symposium on Instrumentation and Science and Tcchnology)

会议地点: 哈尔滨

会议语种:英文

页码: 313-317

在线出版日期: 2006-08-08（万方平台首次上网日期，不代表论文的发表时间）