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Only using the post-earthquake PolSAR imagery to interpret collapsed buildings information is a rapid and effective disaster investigation means, which is also easy and fast for implementation of the earthquake damage assessment. This work is focused on rapid building earthquake damage information detection in urban areas using a single post-earthquake PolSAR image. In this paper, the Precision Weighted...
In the existing various kinds of active contour model methods about image segmentation, level set method has been widely used because of its powerful capabilities of topological transformation. Because of the global computation, level set has accurate shape description effect. On the other hand, it makes the segmentation result sensitive to noise. In this paper, we propose a simple modified method...
A framework of automatic clustering and tracking algorithm is proposed for the multipath components (MPCs) in time-variant radio channels. The algorithm is based on the channel dynamics in time domain and is able to reflect the birth and death behaviors of MPCs naturally. The proposed algorithm is validated by a ray-tracer and the spatial channel model extension simulations. Compared with other existing...
When the exploration scope of the robot is expanded to large regions, the problem becomes more prominent. In this paper, artificial labels are used to provide semantic concepts and relations of the surrounding, which can solve the complexity and limitations of semantic recognition and scene understanding only with robot's vision. Imitating spatial cognizing mechanism of human, the robot constantly...
The global financial crisis broken out in 2008, a variety of hidden economic problems were gradually exposed. As one of the national pillar industry in China, real estate industry had been over developed. And the related risk was accumulated to a critical level. At this international financial crisis and the continuing spread of the background, the Chinese government had to enact series of “restriction...
In this paper, we put forward an approach to extract water-body in remote sensing image using logic operation defined by ourselves. In order to use this method to extract water-body, firstly, NDVI was calculated from multi-spectral image, and vegetation was removed by a certain threshold; Secondly, artificial buildings, cultivated land, cloud, and bare land were extracted according to the spectral...
To achieve the protection of ancient buildings, it used the modern surveying technology and advanced equipment including Johanna T-602 total station and PD30 Rangefinder to site survey ancient architecture in Longyou County, Zhejiang Province. It surveyed the ancient architecture undamaged from plane, profile and facade in the unified plane controlling network and vertical control network, then, it...
In order to obtain the law of the building settlement and forecast it effectively, neural network model was established for building settlement forecasting based on measured data, and an engineering example is shown to test and verify. Firstly, data of building settlement measured were normalized; embedding dimension was selected to establish the leaning samples. Mean square error (MSE) and mean absolute...
Ontology learning is from a given area document sets automatic or semi-automatic extraction terms to construct a domain ontology. Area concept extraction is one of the most important aspects in building ontology. In this paper, we proposed an improved area concept extraction algorithm. In the algorithm, we firstly employed association rule algorithm to obtain the similarity between the sememes, and...
Rooftop edge line extraction is essential for building recognition and extraction in aerial images. In this paper, a new integrated edge line extraction algorithm is proposed for aerial imagery which often contains many buildings of complex shapes, and much more noise. Firstly, an improved marker-controlled watershed algorithm is applied to the aerial imagery segmentation, incorporated with altitude...
This paper presents a novel planner for manipulators and robots in changing environments. When environments are complicated, it's always difficult to find a completely valid path solution, which is essential for many methods. However, our planner searches for several path segments to make robot move towards its goal as much as possible even though such a complete solution doesn't exist currently....
This paper analyses the visual characteristics of ground buildings in high resolution SAR images: the L-shaped echoes resulted from layer over and corner reflection effects give expression to the information of location and height of buildings. Therefore, to vectorize the L-shaped outline of the buildings has a great value in the field of city mapping. Focusing on L-shaped echoes, this paper investigates...
The objective of this research is to apply content analysis and decision tree criteria to analyze unstructured customer data. Base on this analysis, the hidden customer knowledge is discovered and a customer relationship management models is proposed. This could provide the best service model owing to the enounced of customer-orientation and making more effective marketing strategy. Finally, a case...
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