title: [Extract non-point pollution source information from a TM image by hierarchical classification].
abstract: The issue of the article is hierarchical classification that is used to extract land-use information relating to non-point source pollution from TM image. The result shows that it performs better than traditional maximum likelihood method. It is useful to extract information quickly and effectively with advantages of simplifying complex problem, giving prominence to key point and having more flexibility.
authors.affiliation: State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China.
authors.forename: Yuan'an
authors.initials: Y
authors.lastname: Hu
authors.forename: Shengtong
authors.initials: S
authors.lastname: Cheng
authors.forename: Haifeng
authors.initials: H
authors.lastname: Jia
authors.forename: Haixing
authors.initials: H
authors.lastname: Zhang
authors.forename: Bin
authors.initials: B
authors.lastname: Tan
authors.forename: Jiang
authors.initials: J
authors.lastname: Zhao
mesh_terms: D000383:Agriculture; D004787:Environmental Pollution; D040362:Geographic Information Systems; D016013:Likelihood Functions