Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest
نویسندگان
چکیده
منابع مشابه
Soft multi-modal data fusion
Clustering groups items together that are most similar to each other and sets those that are least similar into different clusters. Methods have been developed to cluster records in a data set that are of only qualitative or quantitative data. Data sets exist that contain a mix of qualitative (nominal and ordinal) and quantitative (discrete and continuous) data. Clustering records of mixed kind...
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In recent years, camera networks have been widely employed in several application domains such as surveillance, ambient intelligence or video conferencing. The integration of heterogeneous sensors can provide complementary and redundant information that fused to visual cues allows the system to obtain an enriched and more robust scene interpretation. A discussion about possible architectures an...
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Clustering groups records that are similar to each other into the same group, and those that are less similar into different groups. Clustering data of mixed types is difficult due to different data characteristics. Extending Gower’s metric for nominal and ordinal data is incorporated into an agglomerative hierarchical clustering algorithm to cluster mixed type data. This paper describes the ex...
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A framework for a multi-attribute multi-source data fusion is described. Uncertainty of data is modeled by fuzzy sets. The problem is considered on a general level. Credibility of sources, compatibility of data, as well as their reasonableness, are taken into consideration. The proposed method is illustrated by an example.
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2013
ISSN: 1939-1404,2151-1535
DOI: 10.1109/jstars.2013.2245860