Applied Mechanics and Materials Vols. 380-384

Abstract: In the second stage of Chinese lunar exploration program, lunar rover will be launched for the moon. Stereo vision system of the lunar rover is used for navigation and exploration. Binocular stereo vision cameras collect stereo image pairs of surrounding environment which are transmitted to ground station then used to reconstruct lunar 3D terrain environment. 112 image pairs are collected at one site and terrain data increases rapidly as the rover explores more unknown area so that sequential process system is difficult to generate 3D terrain environment in time. To solve this problem, an elastic parallel computing platform is designed and built using OpenMP parallel computing framework on a 16-processor shared-memory machine. In this paper, architecture of the elastic computing platform is introduced and experiments based on real terrain datasets show that the maximum speedup of the platform can reach 6.44.

Abstract: The precise analysis of long jumpers skilled videos is essential for the coaches to schedule the training. In this paper, we finished the athletes detection and tracing in the vide using the modified Surendra and CamShift algorithms respectively. The results show that the contour of the athletes presented is complete by the modified Surendra, and that the less searching area and appropriate detection box size can be obtained by the improved CamShift. Our cases can provide the valuable references to the related research and application.

Abstract: Choosing the junction of Altun-Kunlun orogenic belt as the anatomical area of extracting complex texture and structure information from remote sensing images, make full use of multi-band remote sensing images to reflect the characteristics of the properties, to extract hidden information through image processing. Analyzing the structure elements by geological body, rock combination, linear and banded structure, penetrative and non-penetrative planar structure, folds, to carry out the surficial composition and structure research of the the junction of Altun-Kunlun orogenic belt, identifying different geological bodies, the fault zones, ductile shear zones, superimposed folds and different strain zones, the different types of foliation, clarifying the characteristics of multi-source remote sensing image from the angle of the image processing methods, proposing new remote sensing image extraction methods and recognition of structural information technology and new understanding of the regional geology.

Abstract: Wireless sensor networks consist of two kinds of nodes: the anchor and the Agent. The anchor is equipped with special hardware to obtain precise location information and employed to derive the locations of Agents. Due to the resource-limited nature of single sensors, actively participating nodes should be kept to a proper number. Based on an investigation on the trade-off between the localization accuracy and the computation complexity of sensor nodes, we propose a distributed algorithm to select subsets of anchor nodes for localization and analyze this algorithm regarding the energy consumption of every node.

Abstract: The GPS position process was modeled in this paper, considering errors due to atmospheric effect (ionospheric, tropospheric), clock errors of the satellite. The model was validated by simulation.

Abstract: The multi-antenna systems employ both diversity and spatial multiplexing, which have a trade off relationship. This thesis is analyzing linear receiver with multiple antenna system of spatial multiplexing, on the premise of providing large information transmission rate and capacity and transmission reliability, giving a quick selection algorithm based on the BER guidelines diversity multiplexing mode. The algorithm is selecting diversity multiplexed mode by less complicated multi-antenna systems, at the same time, sending a small amount of information back to the sender, to achieve the full advantage of multi-antenna systems diversity and multiplexing. This algorithm can make full use of diversity multiplexing MIMO systems, having better transmission performance and low computational complexity.

Abstract: In this paper, we propose a simple but effective bidirectional 2DPCA based on L1-norm maximization ((2D)²PCA-L1). Traditional bidirectional 2DPCA is sensitive to outliers for its L2-norm-based least squares criterion, while (2D)²PCA-L1 is robust. Experimental results demonstrate its advantages in the fields of data compression and object recognition.

Abstract: For the studied the over-determined blind source separation algorithm and its application in radar signal sorting. The reason that natural gradient algorithm of over-determined BSS can not stably converge eventually is analyzed. Aimed at the problem that the exiting methods are analyzed and researched. On-line BSS algorithm with adaptive step length based on separating matrix is presented to implement the optimum combination between the convergence speed and the steady-state error. At the same time, the algorithm can achieve a better separating result when the signal is randomly reduced or increased. The simulation result verifies the convergence stability and the separating effectivity of the two improved algorithms.

Abstract: Video quality evaluation methods have been widely studied because of an increasing need in variety of video processing applications, such as compression, analysis, communication, enhancement and restoration. The quaternion models are also widely used to measure image or video quality. In this paper, we proposed a new quaternion model which mainly describes the contour feature, surface feature and temporal information of the video. We use structure similarity comparison to normalize four quaternion parts respectively, because each part of the quaternion use different metric. Structure similarity comparison is also used to measure the difference between reference videos and distortion videos. The results of experiments show that the new method has good correlation with perceived video quality when tested on the video quality experts group (VQEG) Phase I FR-TV test data set.

Abstract: Because the SIFT (scale invariant feature transform) algorithm can not accurately locate the flame shape features and computationally intensive, this article proposed a stereo video image fire flame matching method which is a combination of Harris corner and SIFT algorithm. Firstly, the algorithm extracts image feature points using Harris operator in Gaussian scale space and defines the main directions for each feature point, and then calculates the 32-dimensional feature vectors of each feature point descriptor and the Euclidean distance to match two images. Experimental results of image matching demonstrate that the new algorithm improves the significance of the shape of the extracted feature points and keep a better match rate of 96%. At the same time the time complexity is reduced by 27.8%. This algorithm has a certain practicality.