The Brazilian scientific microsatellite SACI-1

The National Space Research Institute (INPE) is developing the first Brazilian Scientific Microsatellite (SACI-1) based on the vanguard technology and on the experience acquired through projects developed by Brazilian Space Program. The SACI-1 is a 750km polar orbit satellite. The spacecraft will combine spin stabilization with geomagnetic control and has a total mass of 60 kg. The overall dimensions are 640×470×470 mm. The SACI-1 satellite shall be launched together with CBERS (China-Brazil Earth Resource Satellite). Its platform is being designed for multiple mission applications. The Brazilian Academy of Sciences has selected four scientific payloads that characterize the mission. The scientific experiments are: ORCAS (Solar and Anomalous Cosmic Rays Observation in the Magnetosphere), PLASMEX (Study of Plasma Bubbles), FOTSAT (Airglow Photometer), and MAGNEX (Geomagnetic Experiment).     

Understanding strategic decision making in the context of international space activities

This paper argues that a better understanding of strategic decision making processes in different space agencies is relevant to the successful carrying out of international cooperative undertakings in space and that this kind of information should be taken into account when decisions are to be made on engaging in a new partnership. In this context, the paper provides a general framework for the study of strategic decision making in space organisations, with particular emphasis on the influence of culture. Additionally, it offers practical examples of how differences in policy priorities, decision making environments and practices amongst space organisations can affect international cooperative endeavours. A particular concern is with the role of national and corporate cultures in creating and reflecting differences between space agencies. In order to gather information on strategic decision making processes in the space sector, a series of 30 interviews was conducted with top decision makers from NASA, ESA and the space organisations of Brazil, France, Canada, Russia, The Netherlands and the UK.     

Object-based representations of spatial images

Object based representations of image data enable new content-related functionalities while facilitating management of large image databases. Developing such representations for multi-date and multi-spectral images is one of the objectives of the second phase of the Alexandria Digital Library (ADL) project at UCSB. Image segmentation and image registration are two of the main issues that are to be addressed in creating localized image representations. We present in this paper some of the recent and current work by the ADL's image processing group on robust image segmentation, registration, and the use of image texture for content representation. Built upon these technologies are techniques for managing large repositories of data. A texture thesaurus assists in creating a semantic classification of image regions. An object-based representation is proposed to facilitate data storage, retrieval, analysis, and navigation.