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18,521
Directed Diffusion for Wireless Sensor Networking
- IEEE/ACM Transactions on Networking
, 2003
"... Advances in processor, memory and radio technology will enable small and cheap nodes capable of sensing, communication and computation. Networks of such nodes can coordinate to perform distributed sensing of environmental phenomena. In this paper, we explore the directed diffusion paradigm for such ..."
Abstract
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Cited by 675 (9 self)
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Advances in processor, memory and radio technology will enable small and cheap nodes capable of sensing, communication and computation. Networks of such nodes can coordinate to perform distributed sensing of environmental phenomena. In this paper, we explore the directed diffusion paradigm
Human domination of Earth’s ecosystems
- Science
, 1997
"... Human alteration of Earth is substantial and growing. Between one-third and one-half interact with the atmosphere, with aquatic of the land surface has been transformed by human action; the carbon dioxide con- systems, and with surrounding land. Morecentration in the atmosphere has increased by near ..."
Data Mining: Concepts and Techniques
, 2000
"... Our capabilities of both generating and collecting data have been increasing rapidly in the last several decades. Contributing factors include the widespread use of bar codes for most commercial products, the computerization of many business, scientific and government transactions and managements, a ..."
Abstract
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Cited by 3142 (23 self)
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, and advances in data collection tools ranging from scanned texture and image platforms, to on-line instrumentation in manufacturing and shopping, and to satellite remote sensing systems. In addition, popular use of the World Wide Web as a global information system has flooded us with a tremendous amount
From Data Mining to Knowledge Discovery in Databases.
- AI Magazine,
, 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
Abstract
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Cited by 538 (0 self)
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. The specialists then provide a report detailing the analysis to the sponsoring health-care organization; this report becomes the basis for future decision making and planning for health-care management. In a totally different type of application, planetary geologists sift through remotely sensed images of planets
Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information
- ISPRS Journal of Photogrammetry and Remote Sensing
"... for GIS-ready information ..."
The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results
, 1999
"... . The Global Ozone Monitoring Experiment (GOME) is a new instrument aboard ESA's 2nd European Remote Sensing Satellite (ERS2) , which was launched in April 1995. The main scientific objective of the GOME mission is to determine the global distribution of ozone and several other trace gases, whi ..."
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Cited by 303 (67 self)
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. The Global Ozone Monitoring Experiment (GOME) is a new instrument aboard ESA's 2nd European Remote Sensing Satellite (ERS2) , which was launched in April 1995. The main scientific objective of the GOME mission is to determine the global distribution of ozone and several other trace gases
Second simulation of the satellite signal in the solar spectrum, 6S: An Overview
, 1997
"... Remote sensing from satellite or airborne platforms of land or sea surfaces in the visible and near infrared is strongly affected by the presence of the atmosphere along the path from Sun to Target (surface) to Sensor. This paper presents 6S (Second Simulation of the Satellite Signal in the Solar S ..."
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Cited by 284 (17 self)
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Remote sensing from satellite or airborne platforms of land or sea surfaces in the visible and near infrared is strongly affected by the presence of the atmosphere along the path from Sun to Target (surface) to Sensor. This paper presents 6S (Second Simulation of the Satellite Signal in the Solar
A transformation for ordering multispectral data in terms of image quality with implications for noise removal
- IEEE Trans. Geosci. Remote Sens
, 1988
"... Abstract-Although principal components transformations on remotely sensed multispectral data often produce components that show decreasing image quality with increasing component number, there are numerous examples, especially among aircraft scanner data, where this is not the case. This has led us ..."
Abstract
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Cited by 277 (0 self)
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Abstract-Although principal components transformations on remotely sensed multispectral data often produce components that show decreasing image quality with increasing component number, there are numerous examples, especially among aircraft scanner data, where this is not the case. This has led us
Status of land cover classification accuracy assessment
- REMOTE SENSING OF ENVIRONMENT
, 2002
"... The production of thematic maps, such as those depicting land cover, using an image classification is one of the most common applications of remote sensing. Considerable research has been directed at the various components of the mapping process, including the assessment of accuracy. This paper brie ..."
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Cited by 266 (3 self)
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The production of thematic maps, such as those depicting land cover, using an image classification is one of the most common applications of remote sensing. Considerable research has been directed at the various components of the mapping process, including the assessment of accuracy. This paper
Classification of hyperspectral remote sensing images with support vector machines
- IEEE Trans. Geosci. Remote Sens
, 2004
"... Abstract—This paper addresses the problem of the classifica-tion of hyperspectral remote sensing images by support vector machines (SVMs). First, we propose a theoretical discussion and experimental analysis aimed at understanding and assessing the potentialities of SVM classifiers in hyperdimension ..."
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Cited by 188 (5 self)
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Abstract—This paper addresses the problem of the classifica-tion of hyperspectral remote sensing images by support vector machines (SVMs). First, we propose a theoretical discussion and experimental analysis aimed at understanding and assessing the potentialities of SVM classifiers
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