Image Segmentation and Adaptive Contrast Enhancement for Haze Removal and submitted in partial fulfillment of the requirements for the degree of Master of Applied Science (Electrical and Computer Engineering) complies with the regulations of this University and meets the accepted standards with respect to originality and quality.

This paper reviews the research status of vibration environment test equipment and technology. The development of modern vibration measuring sensors, types, processing technology, structure principle and the main performance index of the sensor is made by brief introduction and analysis, the problems existing in the vibration environment test is pointed out, at the same time for their application in the field of modern industry be also made by corresponding introduction.

Urban building heights offer critical information in studying urbanization. An approach with adequate accuracy is of significant interest. Spaceborne interferometric synthetic aperture radar (InSAR) techniques and multi-baseline (MB) InSAR observations can be an alternative to fill the interest. Since the MB InSAR observations are achieved through multi-temporal SAR observations with different baselines, temporal decorrelation is unavoidable, affecting most existing MB-based phase unwrapping (PU) approaches. Also, the quality of the derived heights depends on a PU approach. Thus, by combing the permanent scatterers (PS) InSAR technique and the two-stage programming approach (TSPA) framework, we proposed an algorithm to estimate urban building heights with the multitemporal SAR observations, calling it the PS-TSPA algorithm. It takes advantage of the global phase gradient information used in the single baseline (SB) PU approaches, not considering the phase continuity assumption. The algorithm should be robust to the temporal decorrelation or noise effect. With the time series of 17 TerraSAR-X data, we estimated building heights in the southern urban area of Chengdu, China. The derived building heights were satisfactory overall and assessed by in situ measurements. In comparison, the Tomo-PS method estimated the heights in the same area and with the same SAR data. Quantitative analyses indicate that the proposed algorithm outperforms the Tomo-PS method. Finally, with routine SAR observations and SAR data downloadable through the Internet, the PS-TSPA algorithm can be inexpensive in estimating urban building heights with reasonable accuracy.

No abstract

Compared to traditional manual-operation method for tunnel-wall deformation measurement, DCRP (Digital Close Range Photogrammetry) technique based on non-metric digital camera is a new emerging and more effective non-contact measurement method. In practical applications, the deformation parameter measurement jobs are throughout the entire process of the tunnel construction to ensure the safety of the project. There are urgent requirements for portability and miniaturization performances of the measurement system to reduce the interaction of measurement job and project construction. A configurable 3D control field equipment was presented, the control points of which could be freely configured according to the practical work conditions and do not need to be re-calibrated. A novel portable tunnel-wall deformation measurement system based on the non-metric digital camera and DLT algorithm was set up. Experimental results showed that the precision of the system for a large section tunnel-wall deformation measurement is better than 0.1‰. The system presented in the paper has the advantages of portability and miniaturization, as easy to implement fast and in-situ tunnel-wall deformation measurements.