A Study of High-resolution Remote Sensing Image Data Fusion Based on Multi-level Techniques

Multi-source remote sensing image fusion was largely focused on in the recent years, especially in which high-resolution remote sensing image data fusion (HRRSIDF) was one of its important centers and is going into the main flow of the future remote sensing image data fusion. In the paper, the authors principally illustrated a concept model, constructed the RSIDF’s (Remote Sensing Image Data Fusion) models on different levels and described their interactive progressive relationship, and then, using the formulized mathematic reasoning and formalized logic proving methodology, more deeply set forth the inter-independent and upgrading functionalities of RSIDF on different fusion levels in order to meet the different requirements of different persons. Subsequently, the high-resolution images of a test area were selected and experimented with the suitable methodologies; the results analyzed and estimated. Lastly, the conclusions and further prospect were presented about the HRRSIAF. * Corresponding author. Tel.: +86-10-13522241414, Fax: +86-10-64889787, E-mail: (fengjzh4680, fengjzh0338)@sina.com.cn