RESEARCHES ON THE KNOWLEDGE MINING OF RIVER NETWORK STRUCTURES BASED ON SPOT-5 IMAGE
GAO Long-hua1,2, ZHANG Xing-nan1
1. College of Water Resources and Environmental Engineering, Nanjing 210098, China;
2. Engineering College of Xuzhou Normal University, Xuzhou 221011, China
This paper has designed a structural type identification method of the Suzhou river network picked up from the SPOT-5 image. According to the overall structural features of the Suzhou river network, some typical discrimination factors are selected, and then discrimination is made by using one or several discrimination factors. On the basis of the statistical features, it can be divided into some possible classifications and, by using other factors, differentiation can be further carried out in the resulting classification. Therefore, with the dichotomy, the types of river network can be classified. This method proves to be very effective in the structural type identification of the Suzhou river network and can attain the aim of differentiating structures of river networks.
高龙华, 张行南. 基于SPOT-5影像的河网结构知识挖掘研究[J]. 国土资源遥感, 2004, 16(4): 33-35,45.
GAO Long-hua, ZHANG Xing-nan. RESEARCHES ON THE KNOWLEDGE MINING OF RIVER NETWORK STRUCTURES BASED ON SPOT-5 IMAGE. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(4): 33-35,45.