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Detection of highways in high resolution images using Mathematical Morphology techniques
Universidade Estadual Paulista (UNESP)
This paper seeks to apply a routine for highways detection through the mathematical morphology tools in high resolution image. The Mathematical Morphology theory consists of describing structures geometric presents quantitatively in the image (targets or features). This explains the use of the Mathematical Morphology in this work. As high resolution images will be used, the largest difficulty in the highways detection process is the presence of trees and automobiles in the borders tracks. Like this, for the obtaining of good results through the use of morphologic tools was necessary to choose the structuring element appropriately to be used in the functions. Through the appropriate choice of the morphologic operators and structuring elements it was possible to detect the highways tracks. The linear feature detection using mathematical morphology techniques, can contribute in cartographic applications, as cartographic products updating.
Issue Date: 
Proceedings, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations.
  • Cartographic feature
  • Digital processing image
  • Features detection
  • High resolution images
  • Mathematical morphology
  • Remote sensing
  • Detection process
  • Features detections
  • High resolution image
  • Linear feature
  • Mathematical morphology theories
  • Morphologic operators
  • Structuring element
  • Observatories
  • Planning
  • Sustainable development
  • Tools
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Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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