4Blaschke T. Object based image analysis for remote sensing[J]. ISPRS Journal of Photogrammetry and Remote Sens-ing, 2010,65(1):2-16.
5Baatz M,Schape A. Multiresolution segmentation: An opti-mization approach for high quality multi-scale image seg-mentation[C]. // Angewandte Geographische Informations-verarbeitung XII, Strobl J,Blaschke T, Griesebner G(Eds),Wichmann, Heidelberg, Germany,2000.
6Schiewe J, Tufte L, Ehlers M. Potential and problems ofmulti-scale segmentation methods in remote sensing[J].GeoBIT/GIS, 2001,6(1):34-39.
7Blaschke T, Bumett C,Pekkarinen A. Image segmentationmethods for object-based analysis and classification[C].Remote sensing image analysis: Including the spatial do-main. Springer Netherlands, 2006.
8Blaschke T, Lang S, Lorup E, et al Object-oriented imageprocessing in an integrated GIS/remote sensing environ-ment and perspectives for environmental applications [J].Environmental information for planning, politics and thepublic, 2000(2):555-570.
9Schiewe J. Segmentation of high-resolution remotely senseddata-concepts, applications and problems[J]. InternationalArchives of Photogrammetry Remote Sensing And SpatialInformation Sciences, 2002,34(4):380-385.
10Neubert M” Meinel G. Evaluation of segmentation pro-grams for high resolution remote sensing applications[C].// International ISPRS Workshop “High Resolution Map-ping from Space,,,2003.
