Journal of the Indian Society of Remote Sensing

, Volume 46, Issue 12, pp 2015–2022 | Cite as

A Multi-Feature Fusion-Based Change Detection Method for Remote Sensing Images

  • Liping CaiEmail author
  • Wenzhong ShiEmail author
  • Ming Hao
  • Hua Zhang
  • Lipeng Gao
Research Article


An object-oriented change detection method for remote sensing images based on multiple features using a novel weighted fuzzy c-means (WFCM) method is presented. First, Gabor and Markov random field textures are extracted and added to the original images. Second, objects are obtained by using a watershed segmentation algorithm to segment the images. Third, simple threshold technology is applied to produce the initial change detection results. Finally, refining is conducted using WFCM with different feature weights identified by the Relief algorithm. Two satellite images are used to validate the proposed method. Experimental results show that the proposed method can reduce uncertainties involved in using a single feature or using equally weighted features, resulting in higher accuracy.


Multi-feature fusion Feature weight Fuzzy c-means Object-oriented change detection 



This work was supported partly by the National Natural Science Foundation of China (41331175), a Project of Shandong Province Higher Educational Science and Technology Program (J17KA064), and the Open Fund of Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Land and Resource (2017CZEPK02).


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Copyright information

© Indian Society of Remote Sensing 2018

Authors and Affiliations

  1. 1.School of Geography and TourismQufu Normal UniversityRizhaoChina
  2. 2.Key Laboratory of Coastal Zone Exploitation and ProtectionMinistry of Land and ResourceNanjingChina
  3. 3.Department of Land Surveying and Geo-InformaticsThe Hong Kong Polytechnic UniversityHong KongChina
  4. 4.School of Environment Science and Spatial InformaticsChina University of Mining and TechnologyXuzhouChina
  5. 5.School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina

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