Many features can be extracted to classify hyperspectral imagery. Classification relying on a single feature set may lose some useful information due to the intrinsic limitation of each feature extraction model. To improve classification accuracy, we propose an information fusion approach, in which both the global and the local aspects of hyperspectral data are taken into account and are combined by a decision-level fusion method. The global features are hyperspectral reflectance curves representing the holistic response to the incident light, and the local features are absorption characteristics reflected by materials' individual constituents. The decision-level fusion is carried out by analyzing the entropy of the classification output from the global feature set and modifying this output via the results of a multilabel classification using the local feature set. Simulations of classification performance on 16 classes of vegetation from the AVIRIS 92AV3C and Salinas data set show the effectiveness of the method, which increases the classification accuracy compared to a popular support vector machine-based method and a production-rule-based decision fusion method.

Article Free Access Share on Flexible meta access-control for collaborative applications Authors: Prasun Dewan Department of Computer Science, University of North Carolina, Chapel Hill NC Department of Computer Science, University of North Carolina, Chapel Hill NCView Profile , HongHai Shen IBM Santa Teresa Lab, 555 Bailey Ave, San Jose, CA IBM Santa Teresa Lab, 555 Bailey Ave, San Jose, CAView Profile Authors Info & Claims CSCW '98: Proceedings of the 1998 ACM conference on Computer supported cooperative workNovember 1998 Pages 247–256https://doi.org/10.1145/289444.289499Published:01 November 1998Publication History 27citation672DownloadsMetricsTotal Citations27Total Downloads672Last 12 Months14Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Traditionally, access control has been studied in the areas of operating systems and database management systems. With the advent of multiuser interfaces, there is a need to provide access control in the user interface. We have developed a general framework for supporting access control in multiuser interfaces. It is based on the classical notion of an access matrix, a generalized editing-based model of user-application interaction, and a flexible model of user-user coupling. It has been designed to support flexible control of all significant shared operations, high-level specification of access control policies, and automatic and efficcent implementation of access control in a multiuser interface. It supports several new kinds of protected objects including sessions, windows, and hierarchical active variables; a large set of rights including not only the traditional semantic rights but also interaction and coupling rights; a set of inference rules for deriving default permissions; and a programming interface for implementing access control in multiuser interfaces. We have implemented the framework as part of a system called Suite. This article describes and motivates the framework using the concrete example of Suite, identifies some of the difficult issues we faced in its design, describes our preliminary experience with it, and suggests directions for future work.

Access control is an indispensable part of any information sharing system.Collaborative environments introduce new requirements for access control, which cannot be met by using existing models developed for non-collaborative domains.We have developed a new access control model for meeting these requirements, The model is based on a generalized editing model of collaboration, which assumes that usersinteract with a collaborative application by concurrently editing its data structures, It associates fine-grained data displayed by a collaborative application with a set of collaboration rights and provides programmers and users a multi-dimensional, inheritance-based scheme for specifying theserights.The collaboration rights include traditional read and write rights and severat new rights such as viewing rights and coupling rights.The inheritance-based scheme groups subjects, protected objects, and access rights; allows each component of an access specification to refer to both groups and individual members; and allows a specific accessdefinition to override a more generat one.