GF-5 is the domestic full spectrum satellite with the most spectral bands, and it can comprehensive observe earth and atmosphere, the data can effectively monitor the changes of ground objects. However, due to the high wave dimension and large data of the hyperspectral remote sensing image, which reduces the processing and operation speed, and brings great uncertainty to the accuracy. In order to improve the accuracy and processing speed of hyperspectral imagery change detection, a method of iterative weighted multivariate change detection based on IR-MAD is proposed. In this paper, the high-resolution remote sensing image of GF-5 is used as the data source. After geometric correction, removal of bad line and other pre-processing methods, the change detection results are obtained by the iterative weighted multivariate (IR-MAD) change detection method. The experiments show that: the algorithm in this paper is compared with change vector analysis (CVA) change detection, principal component change vector analysis (PCA-CVA) change detection method, and iterative weighted multivariate (IR-MAD) detection method without principal component extraction. The detection accuracy of this method is high, and the error rate and missed rate are also low.
BackgroundAlthough anterolateral decompression and instrumentation has several advantages in treating thoracolumbar burst fractures, the risk factors for supplementary posterior instrumentation are still unclear.MethodsWe retrospectively reviewed 238 patients who underwent anterolateral decompression and instrumentation for single-level thoracolumbar burst fractures from January 2010 and March 2012. The influences of several potential risk factors that might affect supplementary posterior instrumentation were assessed using univariate and multivariate analyses.ResultsTwenty seven patients who developed worsening back pain without neurological deterioration after the anterolateral approach treatment need further posterior instrumentation fixation. The univariate analysis showed that age, disruption of the posterior longitudinal ligament complex (PLC), and fracture level were the risk factors for supplementary posterior instrumentation. However, age and integrity of the PLC were the independent risk factors for supplementary posterior instrumentation by multivariate analyses.ConclusionsSupplemental posterior instrumentation was necessary in 11.3% of cases following anterolateral decompression and instrumentation in the present study. Older age and disruption of the PLC were the independent risk factors in prediction of supplementary posterior instrumentation in treating thoracolumbar burst fractures.
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