An Adaptive Offset-Tracking Method Based on Deformation Gradients and Image Noises for Mining Deformation Monitoring
Autor: | Xu Yi, Meinan Zheng, Maomei Wang, Liuyu Wang, Kazhong Deng, Luo Qing, Gang Zhao |
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Rok vydání: | 2021 |
Předmět: |
Offset (computer science)
Noise (signal processing) Computer science Science Acoustics mining deformation monitoring Deformation (meteorology) Tracking (particle physics) deformation gradients adaptive cross-correlation window Deformation monitoring offset-tracking Finite strain theory Interferometric synthetic aperture radar General Earth and Planetary Sciences Intensity (heat transfer) |
Zdroj: | Remote Sensing; Volume 13; Issue 15; Pages: 2958 Remote Sensing, Vol 13, Iss 2958, p 2958 (2021) |
ISSN: | 2072-4292 |
DOI: | 10.3390/rs13152958 |
Popis: | The offset-tracking method (OTM) utilizing SAR image intensity can detect large deformations, which makes up for the inability of interferometric synthetic aperture radar (InSAR) technology in large mining deformation monitoring, and has been widely used. Through lots of simulation experiments, it was found that the accuracy of OTM is associated with deformation gradients and image noises in the cross-correlation window (CCW), so CCW sizes should be selected reasonably according to deformation gradients and noise levels. Based on the above conclusions, this paper proposes an adaptive CCW selection method based on deformation gradients and image noises for mining deformation monitoring, and this method considers influences of deformation gradients and image noises on deformations to select adaptive CCWs. In consideration of noise influences on offset-tracking results, smaller CCWs are selected for large deformation gradient areas, and larger CCWs are selected for small deformation gradient areas. For some special areas, special CCWs are selected for offset-tracking. The proposed method is implemented to simulation and real experiments, and the experiment results demonstrate that the proposed method with high reliability and effectiveness can significantly improve the accuracy of OTM in mining deformation monitoring. |
Databáze: | OpenAIRE |
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