期刊
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
卷 7, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/ijgi7110441
关键词
coral reef; change detection; very high resolution; object-based method; random forests
资金
- National Key R&D Program of China [2017YFB0504200]
- National Natural Science Foundation of China [41701374]
- Natural Science Foundation of Jiangsu Province of China [BK20170640]
- China Postdoctoral Science Foundation [2017T10034, 2016M600392]
Despite increases in the spatial resolution of satellite imagery prompting interest in object-based image analysis, few studies have used object-based methods for monitoring changes in coral reefs. This study proposes a high accuracy object-based change detection (OBCD) method intended for coral reef environment, which uses QuickBird and WorldView-2 images. The proposed methodological framework includes image fusion, multi-temporal image segmentation, image differencing, random forests models, and object-area-based accuracy assessment. For validation, we applied the method to images of four coral reef study sites in the South China Sea. We compared the proposed OBCD method with a conventional pixel-based change detection (PBCD) method by implementing both methods under the same conditions. The average overall accuracy of OBCD exceeded 90%, which was approximately 20% higher than PBCD. The OBCD method was free from salt-and-pepper effects and was less prone to images misregistration in terms of change detection accuracy and mapping results. The object-area-based accuracy assessment reached a higher overall accuracy and per-class accuracy than the object-number-based and pixel-number-based accuracy assessment.
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