17 research outputs found

    Latent knowledge discovery in satellite images

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    The paper describes research that seeks to supersede human inductive learning and reasoning in high-level scene understanding and content extraction

    Semantic annotation of high resolution TerraSAR-X images using Information Mining

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    This paper addresses the problem of High Resolution Synthetic Aperture Radar (SAR) image semantic annotation using a Knowledge Based Information Mining (KIM) System. The authors propose the assessment of the capabilities of KIM to perform an automatic urban classification on TerraSAR-X data. Four test sites have been used in the experiment to prove that the system is generic and data independent

    Knowledge based information mining for urban classification using multispectral high resolution images

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    Space imagery offers great support in various types of applications. The huge amount of information provided in a remote sensed manner facilitates the analysis of Earth surface. The image content classification is one of the first steps to follow in the data mining process

    Classification of dynamic evolutions from satellite image time series based on similarity measures

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    With a continuous increase in the number of Earth Observation satellites, leading to the development of satellitar image time series (SITS), the number of algorithms for land cover analysis and monitoring has greatly expanded. This paper offers a new perspective in dynamic classification for SITS

    Time evolution analysis and change detection for data mining systems

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    The paper proposes two complementary methods for change analysis and feature extraction: A time evolution analysis of satellite images and using the correlation coefficient together with conditional information

    User image mining for natural hazards

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    This paper aims to prove the efficiency of an intelligent knowledge driven EO information mining system in supporting natural hazards' management, by combining large database systems with visual capabilities. Two scenarios are envisaged both considering damage assessment for natural hazards like earthquakes and tsunami
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