南京林业大学学报(自然科学版) ›› 2007, Vol. 31 ›› Issue (04): 89-92.doi: 10.3969/j.jssn.1000-2006.2007.04.020

• 研究论文 • 上一篇    下一篇

SPOT5全色与多光谱图像融合方法研究

张黎宁,周宇   

  1. 南京林业大学信息技术科学学院, 江苏 南京 210037
  • 出版日期:2007-08-18 发布日期:2007-08-18

Research on Fusion Approaches of SPOT5 and Multi-spectral Images

ZHANG Li ning, ZHOU Yu   

  1. College of Information Science and Technology Nanjing Forestry University, Nanjing 210037, China
  • Online:2007-08-18 Published:2007-08-18

摘要: <正>在板式家具制造过程中,粗糙度是表面质量的重要指标。将中密度纤维板裁板后放置15个不等的时间段,用轮廓法测定各个时间段的端面粗糙度特征参数。结果表明:轮廓最大高度Ry、轮廓算术平均偏差Ra及轮廓不平度平均间距Sm均受摆放时间的影响,Ra和Ry与时间正相关,Sm与时间负相关。裁板后,板件端面粗糙度随时间的变化呈现一定的规律性,可为后续加工时间的确定提供依据。

Abstract: Image fusion has become a valuable tool in the processing of remote sensing image. The research selects SPOT5 image as the original fusion data. It is to improve the spatial and spectral quality of image, and to provide the fusion image of increased interpretation capability. The research approaches include IHS, Brovey, K-L and wavelet transform. The research result shows that the fusion approach based on wavelet transform is the best among these approaches.

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