Pixel Based Classification of Images Cover Image

Pixel Based Classification of Images
Pixel Based Classification of Images

Pixel Based Classification of Images

Author(s): Iuliana Maria Pârvu, Iuliana Adriana Cuibac - Picu, Petre Iuliu Dragomir
Subject(s): Geomatics, Maps / Cartography
Published by: Editura Aeternitas
Keywords: segmentation; classification; nDSM; SFP; RGB image;

Summary/Abstract: Nowadays, automation became a basic theme in all the fields of activity. Reducing the operator tasks from a workflow led to the need of research extensions in automation. In Photogrammetry we can start this process from the data collection and going to the final product generation. The main goal of this article is to facilitate the updating process of the National Geospatial Database and to ensure support for different products of our institution. The study was conducted on two types of coverage: extraurban and urban areas, both in Bihor County. The segmentation and classification process used the Single Feature Probability method, considering attributes like spectral signature, texture and shape. The results depend on the initial data, the workflow used and the samples collected.

  • Issue Year: 2018
  • Issue No: 25
  • Page Range: 83-90
  • Page Count: 8
  • Language: English