一种针对CCSDS-IDC的小波系数图像目标区域提取技术  

A Target-area Extraction Algorithm for CCSDS-IDC in Wavelet-transformed Images

作　　者：李泽慧[1,2] 董勇[3] 谢晓方[2] 刘泳 

机构地区：[1]南通大学交通学院,江苏南通226001 [2]海军航空工程学院兵器科学与技术系,山东烟台264001 [3]北京空间飞行器总体设计部,北京100094 [4]山东航天电子研究所,山东烟台264003

出　　处：《光电工程》2015年第4期25-31,共7页Opto-Electronic Engineering

摘　　要：在卫星上提取图像目标区域是降低传输数据量、提高空间传输链路利用率的重要一环。本文从小波系数相关性的角度,提出一种针对空间图像压缩算法(CCSDS-IDC)的目标区域提取方法,是以图像小波系数LL3子带为起点,以四叉树分解为基础的自适应非均匀矩形分割与合并(ANURSM),将对应背景区域的小波系数与对应目标区域分离。经试验表明,算法能够准确、有效地提取出图像目标区域对应的小波系数,与改进的CCSDS-IDC相结合能够有效降低传输数据量并提高图像目标区域质量。High-resolution remote sensors and equipments collected far more images than transmitted through limited-band downlink channels. There is a critical need for special target detection algorithm to select subset of the image collection effectively. An adaptive non-uniform rectangular segmentation and merging algorithm（ANURSM） is proposed to meet the requirement. The algorithm extracts coefficients corresponding to target-area from background in LL3 subband of wavelet-transformed images, and can be integrated with CCSDS-IDC（The Consultative Committee for Space Data Systems-Image Data Compression Recommended Standard） easily and seamlessly. Experiments have demonstrated that the algorithm can effectively reduce data volume and improve the quality of target areas in images.

关 键 词：小波系数相关性 空间图像压缩推荐标准 数据结构 目标区域 矩形分割 

分 类 号：TN911.73[电子电信—通信与信息系统]