Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography

Author:

Li Xiaoxiao,Myint Soe W.,Zhang Yujia,Galletti Chritopher,Zhang Xiaoxiang,Turner Billie L.

Funder

National Science Foundation

Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER)

Global Institute of Sustainability

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference32 articles.

1. A land use and land cover classification system for use with remote sensor data;Anderson;U.S. Geological Survey Professional Paper,1976

2. Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation;Baatz;J. Photogram. Remote Sens.,2000

3. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information;Benz;ISPRS J. Photogram. Remote Sens.,2004

4. Per-pixel and object-oriented classification methods for mapping urban features using Ikonos satellite data;Bhaskaran;Appl. Geogr.,2010

5. Object-based image analysis for remote sensing;Blaschke;ISPRS J. Photogram. Rem. Sens.,2010

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