Comparing object-based and pixel-based classifications for mapping savannas
- 26 July 2011
- journal article
- Published by Elsevier in International Journal of Applied Earth Observation and Geoinformation
- Vol. 13 (6), 884-893
- https://doi.org/10.1016/j.jag.2011.06.008
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imageryRemote Sensing of Environment, 2011
- Comparison of pixel- and object-based classification in land cover change mappingInternational Journal of Remote Sensing, 2011
- Comparison of pixel‐based and object‐oriented image classification approaches—a case study in a coal fire area, Wuda, Inner Mongolia, ChinaInternational Journal of Remote Sensing, 2006
- Comparing accuracy assessments to infer superiority of image classification methodsInternational Journal of Remote Sensing, 2006
- Mapping Structural Parameters and Species Composition of Riparian Vegetation Using IKONOS and Landsat ETM+ Data in Australian Tropical SavannahsPhotogrammetric Engineering & Remote Sensing, 2006
- Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready informationISPRS Journal of Photogrammetry and Remote Sensing, 2004
- Mapping from ASTER stereo image data: DEM validation and accuracy assessmentISPRS Journal of Photogrammetry and Remote Sensing, 2003
- Quantitative assessment of vegetation structural attributes from aerial photographyInternational Journal of Remote Sensing, 2002
- Overview of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)IEEE Transactions on Geoscience and Remote Sensing, 1998
- A review of assessing the accuracy of classifications of remotely sensed dataRemote Sensing of Environment, 1991