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Information Retrieval in large digital document repositories is at the same time a hard and crucial task. While the primary type of information available in documents is usually text, images play a very important role because they pictorially describe concepts that are dealt with in the document. Unfortunately, the semantic gap separating such a visual content from the underlying meaning is very wide...
Existing image retrieval frameworks use the low-level visual features extracted from images to learn a set of semantic categories and tend to discard the conceptual properties of these features. In this paper, we propose to use the conceptual information of the low-level image features to establish a correspondence between the image features and a set of high-level semantic categories. In doing so,...
The sensor monitoring data coming from complex industry environment is the main real-time dependence for people working in the manufacture monitoring center to know the field operation condition. Using the data mining techniques to discover the regularity knowledge from the sensor monitoring database is very important for the supervisors to identify the reason causing the exceptional fluctuation automatically...
Under the research and analysis on different types of clustering algorithms, focus on the limitation of the Jarvis-Patrick algorithm and other clustering algorithm based on SNN density, a new clustering algorithm is proposed in this paper, that is, Improved Clustering algorithm based on Local Gathering Features. The paper gives the definition of the Gathering Features during the procedure of the clustering,...
Traditional Change Vector Analysis in Multi-temporal space (TCVAM) can effectively extract land cover change information based on VI time series, and it has been one of the main methods to detect land cover change at large scale. However, the TCVAM may exaggerate the change information and mix the land cover conversion and land cover modification because of the oversensitivity to the changes of VI...
This paper presents a method of fault polygon extraction and smoothing. It uses boundary tracking algorithm to extract breakpoint locations to form polygon file, and uses parameters of angles between fault polygonal lines as well as edge length and so on to do the work of smoothing, on condition that it keeps its original shape. This method improves the visual effect and aesthetic extent and offers...
Object-oriented classification of remote sensing image is that the image is divided into a series of image objects based on objects' spectrum, shape and texture features, adopting the technology of fuzzy classification to achieve classification and information extraction. In this paper, SPOT5 image of a hypaethral mine as an study area, object-oriented classification was used to study the mine information...
Nowadays, large bodies of data in different domains are collected and stored. An efficient extraction of useful knowledge from these data becomes a huge challenge. This leads to the need for developing distributed data mining techniques. However, only a few research concerns distributed clustering for analysing large, heterogeneous and distributed datasets. Besides, current distributed clustering...
This paper proposes an FCM-type clustering method for capturing cross-shape fuzzy clusters in multidimensional data spaces. The proposed objective function is a combination of Fuzzy c-Varieties (FCV) and cross-shape cluster extraction in 2-D space, which is an extended linear fuzzy clustering model with local coordinate rotation. FCV is responsible for finding 2-D planes, on which cross-shape prototypes...
LIDAR (Light Detection and Ranging) is one of the most effective remote sensing systems, which could provide three dimensional information of earth surface with high accuracy and speed. Now the building boundary extraction is the key approach for 3D modeling of building and city mapping. In this paper, a new algorithm named Alpha Shapes is developed to extract the building boundary. Compared with...
Because different types of ground objects have different spatial and spectrum characteristics, automatic and accurate extraction of different thematic objects from remote sensing without spatial conflict and topology conflict is still a challenge. The design of special thematic intelligent Agents to recognize special objects in high-resolution remote sensing images is useful for object extraction...
This study selected aquatic vegetation in BaiYangDian Wetland Nature Reserve in Hebei Province. Measuring the spectral reflectance of typical aquatic vegetation included stonewort, reed, lotus and typha, involved high-resolution GeoEye-1(GE) remote sensing image, based on spectral reflectance of different species simulating bands of GE, calculated the simulated bands, educed better bands or band combinations...
The paper researches the land use investigation by using aerial photography which obtained by the high resolution CCD. It discusses the method to interpret land use in Liugou of Penglai and use the parallel relation between digital orthophoto(DOM) and features to analyze the condition of land use with with 3S technology to expression in detail. It will provide scientific and necessary references to...
Clustering is a process of grouping a set of physical or abstract objects into classes of similar objects. The purpose of clustering gene expression data is to discover the natural data structures and gain some information regarding data distribution. It can be done with the help of clustering method. Hierarchical clustering groups' data objects into a tree of clusters. Traditional clustering algorithms...
Cluster-based mining methods have proven to be a successful method for the reduction of very large spatio-temporal datasets. These datasets are often very large and difficult to analyse. Clustering methods can be used to decrease the large size of original data by retrieving its useful knowledge as representatives. As a consequence, instead of dealing with a large size of raw data, we can use these...
Building boundary extraction is a necessary progress in many applications such as urban mapping, flood management, 3D city model reconstruction etc. Plenty number of researches have shown that dominant directions estimation is an essential step in building boundary extraction and regularization. This study presents an approach to giving approximate dominant directions of buildings from raw LiDAR data...
In this paper, the proposal system can achieve the more safety of RFID System with the 2-step authentication procedures for the enhancement about the security of general RFID systems. After authentication RFID Tag, additionally, the proposal system extract the characteristic information in the user image for acquisition of the additional authentication information of the user with the camera. In this...
The Arabic web content is growing rapidly and the need for its efficient management is gaining importance and the morphological complexity of Arabic raises many challenges in this regard. This paper reports on some of our work aimed at designing text mining and query pre-processing tools that are able to efficiently process and search large quantities of Arabic web data. In our research we try to...
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