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Received:November 01, 2011 Revised:December 05, 2011
Received:November 01, 2011 Revised:December 05, 2011
中文摘要: WorldView-1卫星可进行高分辨率的全色段成像和细节化的精确制图,其中植被图像的特征提取对于后续识别、分类等研究,具有重要的应用价值。利用分形理论在图像识别中的优势,结合WorldView-1植被全色图像的特征,提取一定规模的植被图像块,分别以Hausdorff算法、Box-counting算法、Euclidean distance map算法及毯覆盖法进行分形维数提取和比较分析,寻求适合WorldView-1植被全色图像的分形维数计算方法。实验结果表明,毯覆盖法计算维数比另外三种算法稳定,适合求取
中文关键词: 遥感 WorldView-1卫星 分形 全色 植被
Abstract:The WorldView-1 satellite can provide panchromatic image with a dramatic improvement in spatial resolution, among these the feature extraction of vegetation image has an important application in identification and classification. Taking the advantage of fractal theory in image identification and combining the character of WorldView-1 panchromatic vegetation image, the fractal dimension of WorldView-1 panchromatic vegetation image is caculated by applying the Hausdorff algorithm, Box counting algorithm, Euclidean distance map algorithm and Blanket algorithm. The result indicates the Blantket algorithm was the most stable when compared with the other three algorithm and is suitable for computing the fractal dimension of the WorldView-1 panchromatic vegetation image.
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邹涛,漆德宁,张冬英,罗军,周杰.WorldView-1卫星植被全色图像分形维数的计算方法.计算机系统应用,2012,21(7):222-224
ZOU Tao,QI De-Ning,ZHANG Dong-Ying,LUO Jun,ZHOU Jie.Computing Fractal Dimension of the WorldView-1 Panchromatic Vegetation Image.COMPUTER SYSTEMS APPLICATIONS,2012,21(7):222-224
邹涛,漆德宁,张冬英,罗军,周杰.WorldView-1卫星植被全色图像分形维数的计算方法.计算机系统应用,2012,21(7):222-224
ZOU Tao,QI De-Ning,ZHANG Dong-Ying,LUO Jun,ZHOU Jie.Computing Fractal Dimension of the WorldView-1 Panchromatic Vegetation Image.COMPUTER SYSTEMS APPLICATIONS,2012,21(7):222-224
