Optimizing land cover classification accuracy for change detection, a combined pixel-based and object-based approach in a mountainous area in Mexico

Author:

Aguirre-Gutiérrez Jesus,Seijmonsbergen Arie C.,Duivenvoorden Joost F.

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference68 articles.

1. The importance of scale in object-based mapping of vegetation parameters with hyperspectral imagery;Addink;Photogrammetric Engineering & Remote Sensing,2007

2. Regiones terrestres prioritarias de México;Arriaga,2000

3. Baatz, M., Schäpe, A. (2000). Multiresolution segmentation – an optimization approach for high quality multi-scale image segmentation. In Angewandte Geographische Informationsverarbeitung XII. Beiträge zum AGIT-Symposium Salzburg: Vol. 200 (pp. 12–23).

4. The impact of data compression and neighborhood information on the classification accuracy of artificial neural networks;Barsi;International Archives of Photogrammetry and Remote Sensing,2000

5. Change detection and classification of land cover at Hustai National Park in Mongolia;Bayarsaikhan;International Journal of Applied Earth Observation and Geoinformation,2009

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