The change detection method based on object-oriented characteristic mapping pattern analysis
LI Xue1, SHU Ning2, LIU Xiaoli1, LI Jinggang1
1. Key Laboratory of Earthquake Geodesy, Institute of Seismology, CEA, Wuhan 430071, China;
2. School of Remote Sensing and Information Engineering, Wuhan 430079, China
This paper proposes a object-oriented change detection method based on the characteristic mapping pattern analysis. The method is improved from the information transfer model of remote sensing image interpretation. The image objects are acquired by the vector auxiliary data. The spectral and texture features are extracted, and an unsupervised clustering method is used to obtain the characteristic clusters of the objects. According to the priori information which exists in the auxiliary data, the mapping between the multi-temporal feature clusters is analyzed class by class. Then, the change object, whose mapping mode is inconsistent with other objects of the same class, can be identified. The experiments prove the feasibility and effectiveness of the proposed method, and the results show a new way for the object-oriented change detection.
李雪, 舒宁, 刘小利, 李井冈. 基于特征映射模式分析的对象级变化检测方法[J]. 国土资源遥感, 2013, 25(3): 51-55.
LI Xue, SHU Ning, LIU Xiaoli, LI Jinggang. The change detection method based on object-oriented characteristic mapping pattern analysis. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 51-55.
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