Urban Knowledge Analysis for Dynamic Forecasting Using Multispectral Data

The analysis of dynamical models for urban knowledge analysis using the information extracted from a geographical region processed from the data provided by multispectral remote sensing systems provides useful information for urban planning and resource management. However, several topics of interest on this particular matter are still to be properly studied. Using the remote sensing data that has been extracted from multispectral images from a particular geographic region in discrete time, its dynamic study is performed in both, spatial resolution and time evolution, in order to obtain the dynamical model of the physical variables and the evolutionary information about the data. This provides a background for understanding the future trends in development of the dynamics inherent in the multispectral and high-resolution images. This proposition is performed via an intelligent computational paradigm based on the use of dynamical filtering techniques modified to enhance the quality of reconstruction of the data extracted from multispectral remote sensing images and using highperformance computational techniques to unify the available data scheme with its dynamic analysis and, therefore, provide a behavioral model of the sensed data.

• Publication year

  2018

• Venue

  IEEE International Geoscience and Remote Sensing Symposium

• Publication date

  2018-07-01

• Fields of study

  Geography, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/IGARSS.2018.8518781
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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