High resolution remote sensing classification of coral reef substrate, base on SVM—Taken XiSha Zhaoshu island as an example

Coral resources in global are facing a huge threat under climate change and increasing human activities. In this paper, at first, combined with Support Vector Machine (SVM), WorldView-3 satellite data (October 10, 2014) with high spatial resolution (1.2 m) and eight spectral bands are used to research classification of Zhao Shu island coral reef substrate. Coral reef, coral bleaching, coral sand and seawater are identified. Then training and checking samples are built artificially and label types from in situ data and finished classification result accuracy test. The results show that the total classification accuracy and Kappa coefficient are 95.28% and 0.90 respectively. These results demonstrate that high resolution images can provide more detailed information and are suitable to monitor the health of coral reefs. High resolution remote sensing classification results of coral reef can provide the important information for environment protection.