摘要
感兴趣区域(ROI)编码技术具有在不丢失重要信息的同时又有效地压缩了数据量的特点,非常适用于遥感图像的压缩.但现有的ROI编码算法在编码前需人为定义ROI,因而在用户无法进行人工干预的情况下其使用受限.针对此问题,从遥感图像的特点入手,提出了一种自动ROI编码算法.该算法基于JPEG2000标准框架,首先根据用户需求进行了ROI自动检测,并通过与目标形状最为接近的最小外接矩形的使用将ROI检测算法与ROI编码算法有效地结合在一起,最后,结合检测结果的特点优化了编码算法,实现了对遥感图像的自动ROI编码.实验结果验证了此算法的有效性.
Region of interest （ROI） coding technique could effectively compress the image data while the important information could aim be saved well and it＇ s very adaptive to the remote sensing image compression. The ROI needs to be defined in advance in the existing ROI coding algorithms. So the application of the ROI coding algorithm is restricted when the ROI of remote sensing images couldn＇t be defined by the users in some conditions. To solve this problem,an automatic ROI coding algorithm based on the characteristics of the remote sensing images is proposed. According to the application demands, the ROI could be detected automatically with higher accuracy firstly. Then, by the using of the minimum enclosing rectangle which is close to the shape of the target, the ROI automatic detection algorithm is corn bined with the ROI coding algorithm. At last, the ROI coding algorithm is a ed results based on the J PEG2000 standard ing images and has greater practicality. The This algorithm can automatical algorithm efficiency is tested w so improved with the detect y compress the remote sens th the simulation results.
出处
《光电技术应用》
2006年第4期64-70,共7页
Electro-Optic Technology Application
基金
国家自然科学基金资助项目(60472048)
黑龙江省自然基金重点资助项目(ZJG04-0701)
