为了提高地基雷达系统的监测精度,提出一种新的高精度的地基合成孔径雷达干涉GBSAR(Ground Based SAR)监测技术。融合了GBSAR关键技术以及数据处理理论,对影响测量精度的误差项进行了分析研究并从3个方面(雷达系统、数据获取、数据处理...为了提高地基雷达系统的监测精度,提出一种新的高精度的地基合成孔径雷达干涉GBSAR(Ground Based SAR)监测技术。融合了GBSAR关键技术以及数据处理理论,对影响测量精度的误差项进行了分析研究并从3个方面(雷达系统、数据获取、数据处理)具体给出了相应的精度提高措施。基于变形监测系统(IBIS-S)对GBSAR理论研究进行实验验证。实验表明GBSAR技术对于目标体的监测精度较高。最终得到GBSAR技术产生的误差的途径主要源自数据采集的过程。展开更多
High-energy dual-energy X-ray digital radiography imaging is mainly used in the material recognition of cargo inspection. We introduce the development history and principle of the technology and describe the data proc...High-energy dual-energy X-ray digital radiography imaging is mainly used in the material recognition of cargo inspection. We introduce the development history and principle of the technology and describe the data process flow of our system. The system corrects original data to get a dual-energy transparence image. Material categories of all points in the image are identified by the classification curve,which is related to the X-ray energy spectrum. For the calibration of classification curve, our strategy involves a basic curve calibration and a real-time correction devoted to enhancing the classification accuracy. Image segmentation and denoising methods are applied to smooth the image. The image contains more information after colorization. Some results show that our methods achieve the desired effect.展开更多
文摘随着现代社会的工业化进程和快速发展,工业生产中的危险化学气体泄漏严重危及人身财产安全。如何有效检测污染气体的存在并获取气体的浓度和分布等信息,成为气体泄漏检测的重要课题。非制冷快照式红外视频光谱成像仪(Uncooled Snapshot Infrared Video Spectrometer,USIVS)是一种理想的硬件方案,能够直接从图像中感知危险化学气体的存在并获取危险化学气体的位置,为紧急处置提供有力支持。但是,商业化的轻量级被动式红外光谱成像仪的灵敏度和光谱分辨率相对受限,已有的气体浓度反演方法难以准确检测污染气体的存在。本文介绍了一种基于非制冷快照式红外视频光谱成像仪及其适用的数据处理技术流程。利用气体浓度反演方法对不同温度和光程长度下的气体进行了模拟实验,并得到了较为准确的反演结果,平均误差分别为2.88%和0.61%。在实验室和室外场景下进行了气体浓度反演方法的测量实验,结果表明该算法具有较好的稳定性,平均误差分别为6.18%和7.47%。通过USIVS与数据处理技术流程的有效结合,能够快速准确地检测污染气体的存在并给出图像中每个像素的气体浓度,实现气云浓度反演的效果,为后续该类技术的商业化及实用化提供了参考。
文摘为了提高地基雷达系统的监测精度,提出一种新的高精度的地基合成孔径雷达干涉GBSAR(Ground Based SAR)监测技术。融合了GBSAR关键技术以及数据处理理论,对影响测量精度的误差项进行了分析研究并从3个方面(雷达系统、数据获取、数据处理)具体给出了相应的精度提高措施。基于变形监测系统(IBIS-S)对GBSAR理论研究进行实验验证。实验表明GBSAR技术对于目标体的监测精度较高。最终得到GBSAR技术产生的误差的途径主要源自数据采集的过程。
基金supported by National Natural Science Foundation of China (Nos. 11235007 and 10905030)
文摘High-energy dual-energy X-ray digital radiography imaging is mainly used in the material recognition of cargo inspection. We introduce the development history and principle of the technology and describe the data process flow of our system. The system corrects original data to get a dual-energy transparence image. Material categories of all points in the image are identified by the classification curve,which is related to the X-ray energy spectrum. For the calibration of classification curve, our strategy involves a basic curve calibration and a real-time correction devoted to enhancing the classification accuracy. Image segmentation and denoising methods are applied to smooth the image. The image contains more information after colorization. Some results show that our methods achieve the desired effect.
