Abstract: When planning large-scale earth observation system, the traditional requirement analysis method, which just considers single user department and discusses satellite one by one, is no longer suitable. In order to solve this problem, this paper puts forward a kind of remote sensing application requirement clustering algorithm. First of all, through the analysis of the requirement criteria, we extract 5 systematical requirement criteria such as spatial resolution for the expression of structural requirements. Second, we establish requirement similarity definition based on satisfaction evaluation, and use it as a quantitative index to measure the similarity between requirements. Finally, we design the maximum and minimum distance clustering algorithms based on satisfaction degree to extract the center class requirements. The experimental results show that the method works well in merging similar requirements, and the clustering results will provide supports in earth observation system design and load development.

Key words: remote sensing application requirements, structured expression of requirements, requirement clustering, requirement satisfaction degree