Multispectral Image Classification for Urban Studies

Day - Time: 07 July 2011, h.10:30
Place: Area della Ricerca CNR di Pisa - Room: C-29
  • Oscar Viveros (Università di Veracruz, Messico)

Ercan Engin Kuruoglu


Urban growth generates interesting problems in emerging economies, these problems are generally due to the lack of land planning. Remote Sensing has proved to be a good analysis technique adapted to study the urban growth.

In this talk, an information extraction methodologie will be shown, which is capable of extracting urban information from satellite images (SPOT and ERS-1). Also, the ways of implementation and some results will be exposed. The methodology is based on image classification and urban texture analysis focusing on pixel based probabilistic tools, taking into account the diffulties in obtaining the satellite data.