Andere Kunden interessierten sich auch für
![DYNAMIC GEOGRAPHIC PHENOMENA IN SPATIOTEMPORAL DATABASES]( "DYNAMIC GEOGRAPHIC PHENOMENA IN SPATIOTEMPORAL DATABASES")
DYNAMIC GEOGRAPHIC PHENOMENA IN SPATIOTEMPORAL DATABASES32,99 €![Direct Spatiotemporal Interpolation of Reservoir Flow Responses]( "Direct Spatiotemporal Interpolation of Reservoir Flow Responses")
Direct Spatiotemporal Interpolation of Reservoir Flow Responses32,99 €![Depositional Evolution Of The Eocene Sediments, Fayum Area, Egypt]( "Depositional Evolution Of The Eocene Sediments, Fayum Area, Egypt")
Depositional Evolution Of The Eocene Sediments, Fayum Area, Egypt51,99 €![Geology of the Gboko area, Lower Benue Trough. Nigeria]( "Geology of the Gboko area, Lower Benue Trough. Nigeria")
Geology of the Gboko area, Lower Benue Trough. Nigeria53,99 €![Holocene Tectono-Sedimentary Evolution of the Haryana Plains, India]( "Holocene Tectono-Sedimentary Evolution of the Haryana Plains, India")
Holocene Tectono-Sedimentary Evolution of the Haryana Plains, India51,99 €![Geo-heritage; the normal temporal evolution of the concept of Geosites]( "Geo-heritage; the normal temporal evolution of the concept of Geosites")
Geo-heritage; the normal temporal evolution of the concept of Geosites39,99 €![Relevance of the Capacity Building System in Zambian's NDC]( "Relevance of the Capacity Building System in Zambian's NDC")
Relevance of the Capacity Building System in Zambian's NDC23,99 €
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.