As the volume of data collected by an increasing number of satellites escalates, it has become of paramount importance that methods of coping with and making best use of this information are developed. Current trends ...
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As the volume of data collected by an increasing number of satellites escalates, it has become of paramount importance that methods of coping with and making best use of this information are developed. Current trends are moving towards automatic and knowledge-based analysis systems particularly for monitoring applications where the same kinds of interpretation task must be repeated many times. The MuSIP project, part funded by the European ESPRIT programme for research information, aims to develop a software demonstrator for the automatic fusion and analysis of multisource data. The project recognises this need across all computer vision applications and so will test the demonstrator on two dissimilar applications, one in the field of remotesensing and one in the field of medical image analysis. The target remotesensing application is the monitoring of forestry using a dataset of radar and optical imagery, map and ground data. This paper introduces the modules that comprise the demonstrator that is: a supervisor with its associated knowledge bases, algorithms and the databases. Attention is focussed in particular on the role of knowledge bases and the methods of data fusion.< >
Distinguished Author Series articles are general, descriptiverepresentations that summarize the state of the art in an area of technology bydescribing recentdevelopments for readers who are not specialists in thetopi...
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Distinguished Author Series articles are general, descriptiverepresentations that summarize the state of the art in an area of technology bydescribing recentdevelopments for readers who are not specialists in thetopics discussed. Written by individuals recognized as experts in the area,these articles provide key references to more definitive work and presentspecific details only to illustrate the technology. Purpose: to informthe general readership of recent advances in various areas of petroleumengineering. Summary. Though remotesensing has been available in many forms for decades,it became much more available and interesting with the advent of the EarthResources Technology Satellite-1 (ERTS-1), later renamed LANDSAT-1, in *** that time, hundreds of thousands of images detected by satellites havebeen transmitted to base stations at strategic locations around the world andrecorded in digital format for further processing. These data have been madeavailable to the entire free world for agricultural purposes. The large areascovered by each image and the repeatability of the images on subsequent passeshave made them useful additionally in navigation, engineering studies of icefloes and harbors, studies of sedimentary deposition near river deltas, and theinterpretation of geologic features too large to visualize on conventionalaerial photographs. This paper highlights applications of readily available,remotely sensed data without the need for more sophisticated processing. Itpoints out some techniques used to interpret events on the imagery that relateto subsurface features that are important in the exploration and development ofoil and gas fields and makes use of analogies to known geologic features. TheAppendix lists the current sources of the various remotely sensed data. Introduction remotesensing of the environment and the earth has been in use for manyyears. Airborne instrumentation for photography that uses special films,radiation detection, magnetic an
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