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... Yang, et al. [1] proposed the release architecture and respective technical problems according to the characteristics of Internet and remote sensing images; and the integration of the remote sensing images release system and WebGIS is discussed. Shen, et al. [2] [3] focused on the principles and key technologies of mass spatial data online release system based on J2EE and gave an instance of spatial images data online browsing and release; in the paper the author pointed out that the release remote sensing images data may adopt the encryption technology but not give the corresponding theory and realization. Gee Ju Chae and Seong-Ik Cho [4] proposed the algorithm for maintenance of public security for satellite images, which mainly classify the diverse level for the diverse users. ...
... At present, remote sensing images Web release system mainly use J2EE or .Net platform to realize, which is generally divided into three parts, including presentation layer, service layer and data layer. The presentation layer is the client; the service layer includes Web servers, application servers and images data processing server [3]; the data layer includes the images database server, which is responsible for storage and management of images data, and images meta-data server, which is responsible for storing and managing images metadata. For images database server, we adopt the distributed multi-server architecture to meet the need for large-scale concurrent users to access. ...
The growth of applications and the drastic increase in release of remote sensing images makes security as a mandatory requirement. In this paper, based on pre-existing web release system, a security web release and visualization scheme of remote sensing images is proposed. Firstly, user permission control is used to ensure that users with different permission obtain different quality levels images as well as different images processing function and operating function in Web release system. Secondly, the lightweight encryption method is introduced based on the characteristics of highresolution remote sensing images data and application requirements. The method includes security areas needing to provide confidentiality in remote sensing images selection and classification and lightweight disruption of security areas based on format compliance with different degree. Additionally, the security stocking processing of remote sensing images is introduced and three-dimensional exaggeration of post-security processing images is showed. The experimental and analysis results approve the effectiveness of the proposed method which is suitable for practical use in the secure web release of high-resolution remote sensing images.
Google Map or other remote sensing image publication systems can only publish three-band color image. As a result, users can only see combined three-band image information without access to information of other bands combined. Different from the Google Map, the method proposed in this paper implements the combination of multi-band remote sensing image, displaying and roaming in the browser site by using HTML5 technology. It can ensure that users see information of different bands combination and save a large amount of disk space at server site.
This paper put forward an integrated management method of marine remote sensing data by integrating the technologies of WebGIS, spatial database and network communication. A real-time publication of marine remote sensing data was designed and realized which integrates the function of data browsing, data querying, data downloading, automatic batch uploading remote sensing data to database, automatic long-distance data distribution and so on. The network communication technology and the efficient and safe data transmission that is combination of the encryption and verification technology were discussed. The mechanism of double-effect database connection pool was also analyzed. The strategy was proposed that marine remote sensing data is visualized by integrating the technology of creating data files dynamically with the technology of visualization cache. Finally, the application results show the system can manage marine remote sensing data efficiently.
The use of remote sensing images collected by space platforms is becoming more and more widespread. The increasing value of space data and its use in critical scenarios call for adoption of proper security measures to protect these data against unauthorized access and fraudulent use. In this paper, based on the characteristics of remote sensing image data and application requirements on secure distribution, a secure distribution method is proposed, including users and regions classification, hierarchical control and keys generation, and multi-level encryption based on regions. The combination of the three parts can make that the same remote sensing images after multi-level encryption processing are distributed to different permission users through multicast, but different permission users can obtain different degree information after decryption through their own decryption keys. It well meets user access control and security needs in the process of high resolution remote sensing image distribution. The experimental results prove the effectiveness of the proposed method which is suitable for practical use in the secure transmission of remote sensing images including confidential information over internet.
With the development of GIS, intelligent management and networking, sharing the urban spatial information is becoming more and more important. This paper researches four important aspects of building the sharing platform of urban spatial information service, such as data organization, platform structure, application modes and key technologies used. Spatial data, as the dissemination vector of the spatial information, have a very important position in sharing the urban information services. In this paper, two main spatial data models are used to organize the required data. One is the multi-scale Pyramid model with sole element to deal with the vector data, the other is the tile Pyramid model to deal with the raster data. Taking into account the characteristics of the sharing platform such as multi-user, multi-demand, multi-purpose, and multi-functional, two modes namely Browser/Server (B/S) and Client/Server (C/S) are used to construct the entire sharing platform structure. The ultimate goal of building this sharing platform is to apply it in the urban construction to satisfy peoples' needs. So we must to select the suitable application mode. Finally, this paper introduces some key technologies used and the realized sharing platform of Tianjin urban spatial information service.
With the rapid growth of requirements on satellite remote sensing image data, effective management and efficient publication of increasingly large image data has become an urgent problem. Based on the features of massive image data and Web publication, this paper does a deep research and a thorough discussion on multi-resolution pyramid model of global satellite remote sensing images, gives a reasonable indexing design and scheduling mechanism of mass image data. Then it presents a management and publication engine of satellite image data. Finally, it shows an instance of a Web based high-performance general-purpose publication system, which can meet multi-requests from clients with different access interfaces at the same time.
With the rapid development of remote sensing technologies, the amount of the remote sensing image data is increasing dramatically. However, the remote sensing image data's usage rate still remains very low. To solve this problem, we propose a new Service model: Anytime-Anywhere Service (AAService) model, under which users can get remote sensing images anytime and anywhere. Then we implemented and tested our AA-Service System based on this Service model. First of all, we introduced the framework of the AA-Service System. The AAService System includes three units: Data Center, Communication Unit, and User Unit; and provides three kinds of Services: image Service, plotting Service, and update Service. The features of the AA-Service are seamless coverage, all online Service, and efficient distribution. Secondly, we also described the three key technologies of the AA-Service System in this paper: distributing data according to the users' needs, updating remote sensing image partially and transmitting data in an efficient way. In the AA-Service System, the remote sensing image is organized by the global subdivision compression pyramid which enables the System to distribute remote sensing images of different resolution to users according to the users' requests. When the remote sensing image is changing, the System only updates the changed area rather than the whole image. This is different from other image Service models which distribute remote sensing images by scene or map sheet. In addition, this System ensures reliable and efficient data transmission by integrating three communication methods: BeiDou communication, CDMA communication and Internet communication, and using a new packet loss retransmission mechanism. Thirdly, we listed the statistics data of the System test. In the System test, we measured the Qos and consumed time of image Service, plotting Service and update Service respectively. The results show that this AA-Service System can provide the remote sen- - sing images Service anytime and anywhere in a short time and in a good Qos. By using this AA-Service System, the remote sensing image data's usage rate will be increased and users can experience more convenient remote sensing images Service in their daily life.
With the progress of researches on the integration of Geographic Information System (GIS) and Remote Sensing (RS), digital earth, and information sharing, to publish RS images on Internet has become a significant research work. This paper presents an efficient algorithm to build image pyramid model for convenient data storage and retrieval and proposes two distributed cutting algorithms under the Internet environment, which are programmed in Java and C++ languages, based on B/S and C/S architecture respectively. Some useful functions, such as data compression, image format transformation, watermarking, and automated error-correction, are also implemented. The programs are robust, efficient, and easy to use, endowed with user-friendly graphical interface. Tests of the programs with a global RS image show good results. Therefore the image publication on Internet becomes easier to accomplish.
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