Real-time geological disaster monitoring with deformation parameters auto-detection technique

Chenggang Li; Xiaochun Shi; Liming Tang; Honghua Qiu; Ming Tan

doi:10.1117/12.836324

9 October 2009 Real-time geological disaster monitoring with deformation parameters auto-detection technique

Chenggang Li, Xiaochun Shi, Liming Tang, Honghua Qiu, Ming Tan

Proceedings Volume 7471, Second International Conference on Earth Observation for Global Changes; 74711P (2009) https://doi.org/10.1117/12.836324
Event: Second International Conference on Earth Observation for Global Changes, 2009, Chengdu, China

Abstract

CORS/GMS integration can be used to monitor displacement of surface deformation in geological disasters at the mm accuracy level. In order to detect the distinct geological disaster-related displacement deformation automatically and extract the temporal and spatial characteristics in the process of deformation, an algorithm DDExM (Deformation Detection & Exaction Method) for deformation parameter estimation is presented in this paper. The algorithm DDExM includes four steps: outlier detection, adaptive threshold classification, deformation evaluation, and deformation parameters auto-detection. The hypothesis and test, and threshold classification tools are used, based on Kalman filter, to realize the auto-detection of uniform deformation parameters applicable to multi-scale accuracy demand from decimeter to millimeter level. Experimental data from both the slope at Tiansan stone pit and the Guangdong Continuously Operating Reference Stations (GDCORS) based geological disaster dynamic monitoring are used to evaluate the performance of the DDExM. The DDExM leads to the application of CORS/GMS integration based geological disasters dynamic monitoring in provincial region automatically and continually with high temporal and spatial resolution.

Citation Download Citation

Chenggang Li, Xiaochun Shi, Liming Tang, Honghua Qiu, and Ming Tan "Real-time geological disaster monitoring with deformation parameters auto-detection technique", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74711P (9 October 2009); https://doi.org/10.1117/12.836324

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KEYWORDS

Global Positioning System

Filtering (signal processing)

Detection and tracking algorithms

Antennas

Device simulation

Buildings

Computer simulations

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