Land Cover Recognition using Min-Cut/Max-Flow Segmentation and Orthoimages
DOI:
https://doi.org/10.17770/etr2015vol3.171Keywords:
land cover, min-cut/max-flow segmentation, orthoimage, recognitionAbstract
The geospatial information is significant for many socio-technical activities like urban planning, the prediction of natural hazards, the monitoring of land use, weather forecasting, cadastral surveys etc. It is possible to acquire geospatial information from a distance using remote sensing technologies, but remotely sensed images don’t have semantics without a previous recognition. The classification of geospatial information is expensive and time consuming process. The paper describes the automatic land cover recognition method, which is based on min-cut/max-flow segmentation. The raw data are othoimages with a high resolution. The proposed method is tested and evaluated by Cohen’s kappa coefficient.Downloads
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