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Urban land use extraction from Very High Resolution remote sensing imagery using a Bayesian network

  • Published:2016-12 Issue: Volume:122 Page:192-205
  • ISSN:0924-2716
  • Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
  • language:en
  • Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Li MengmengORCID,Stein Alfred,Bijker Wietske,Zhan Qingming

Funder

China Scholarship Council

ITC Research Fund

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference43 articles.

1. Monitoring urban structure types as spatial indicators with CIR aerial photographs for a more effective urban environmental management;Banzhaf;IEEE J. Sel. Top. Appl. Earth Obs. Rem. Sens.,2008

2. Monitoring urban land use changes with remote sensing techniques;Banzhaf,2011

3. Distinguishing urban land-use categories in fine spatial resolution land-cover data using a graph-based, structural pattern recognition system;Barnsley;Comput. Environ. Urban Syst.,1997

4. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information;Benz;ISPRS J. Photogramm. Rem. Sens.,2004

5. Pattern Recognition and Machine Learning;Bishop,2006

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