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Eliciting the evolution of spatiotemporal objects


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  • Product Description

One of the main challenges in the information extraction provided by remote sensing images is to model and to represent geographical objects that have their properties changed along the time. This thesis proposes a novel approach based on Case Based Reasoning (CBR) for describing how geospatial objects identified in remote sensing imagery evolve. Given a set of multi-temporal images, the CBR techniques and the expert knowledge in a certain application domain, the approach describes the trajectories of evolution objects. Therefore, it is possible to describe how the objects evolve by retrieving their complete evolving history. The proposed method is tested for two case studies, in the Brazilian Amazonia Forest, for describing the evolution of deforestation patterns, which can enable a better understanding of land use changes in these regions.

Product Specifications
SKU :COC40988
AuthorJoice Seleme Mota
Number of Pages76
Publishing Year2012-11-04T00:00:00.000
Book TypeEarth sciences, geography, environment, planning
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-03-08 00:00:00
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