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Research on extraction method of external force damage based on multi-temporal remote sensing image

Remote sensing can be used to monitor and warn of the damage of external force caused by human activities such as road construction and building construction along the underground cable. The extraction of external force damage information is mainly based on the results of change detection. Based on the object-oriented change detection method, our study selects the optimal features through multi-scale segmentation, multi-source feature construction and classifies the two-time high-resolution satellite remote sensing images. Using the classification results to establish the hierarchical relationship, the idea of superposition analysis is introduced, and the detection results of ground object changes are obtained by logical difference operation, then the external rupture information is extracted. This method avoids the subjectivity and complexity of the varying threshold method. Our results show that the detection probability is 88.63%, the false detection probability is 11.36%, and the miss detection probability is 4.41%.