TEXTURE ANALYSIS TO IMPROVE SUPERVISED CLASSIFICATION IN IKONOS IMAGERY
@inproceedings{Tassetti2010TEXTUREAT, title={TEXTURE ANALYSIS TO IMPROVE SUPERVISED CLASSIFICATION IN IKONOS IMAGERY}, author={A. Tassetti and E. Malinverni and M. Hahn}, year={2010} }
The most extensive use of Remote Sensing data is in land cover/land use (LCLU) studies by means of automated image classification. The general objective of this research is to develop an automatic pixel-based classification methodology with the aim to produce a Regional land use map congruent with the CORINE Land Cover legend. Starting point are detailed ground data, already gathered fostering interoperability among several Regional bodies’ DBs and high resolution multi-spectral IKONOS imagery… Expand
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