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基于ROI的压缩域多谱段遥感图像的检索
引用本文:牛蕾,倪林.基于ROI的压缩域多谱段遥感图像的检索[J].中国图象图形学报,2005,10(10):1212-1217.
作者姓名:牛蕾  倪林
作者单位:中国科学技术大学电子工程与信息科学系 合肥230026
基金项目:安徽省自然基金项目(03042206),国家自然科学基金项目(60372059)
摘    要:根据JPEG2000对感兴趣区域优先编码,以及感兴趣区域的形状可随意选取的特点,提出了一种在JPEG2000压缩码流不完全解码的情况下,实现多谱段遥感图像感兴趣目标的检索方法,该方法利用了遥感图像的性质,根据例子图像的谱特征对感兴趣区域的内容进行分析,并设计了一套相似性度量的方法。实验结果表明,此方法有较理想的图像检索效果和很高的检索效率,解决了应用上对实时性的高要求与遥感图像库数据海量性之间的矛盾。

关 键 词:JPEG2000  遥感图像  感兴趣区域(ROI)检索
文章编号:1006-8961(2005)10-1212-06
收稿时间:2004-09-22
修稿时间:2005-03-14

A Remote Sensing Image Retrieval Method Based on ROI
NIU Lei and NIU Lei.A Remote Sensing Image Retrieval Method Based on ROI[J].Journal of Image and Graphics,2005,10(10):1212-1217.
Authors:NIU Lei~ and NIU Lei~
Abstract:One of features in JPEG2000 is ROI(region of interesting) coding technique.Since the shape of interesting region is manually optional,the influence of uninterested region could be very small.This paper presents a novel and efficient scheme for remote sensing image retrieval,which does not need to decode JPEG2000's code stream completely.It extracts the spectral features of objects based on the properties that objects could reflect different waves in different wave band.The subsequent retrieval is based on the spectral feature.Further more,a new measurement scheme designed by which similarity between two images is computed and then the retrieval is realized.The experimental results show that this method is accurate and efficient.In addition,it costs much less time than the traditional method.
Keywords:JPEG2000  remote sensing image  retrieval of ROI  
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